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version 1.302, 2020/02/22 21:00:05
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version 1.342, 2022/09/11 19:54:09
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| /* $Id$ |
/* $Id$ |
| $State$ |
$State$ |
| $Log$ |
$Log$ |
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Revision 1.342 2022/09/11 19:54:09 brouard |
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Summary: 0.99r38 |
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* imach.c (Module): Adding timevarying products of any kinds, |
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should work before shifting cotvar from ncovcol+nqv columns in |
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order to have a correspondance between the column of cotvar and |
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the id of column. |
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(Module): Some cleaning and adding covariates in ILK.txt |
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Revision 1.341 2022/09/11 07:58:42 brouard |
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Summary: Version 0.99r38 |
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After adding change in cotvar. |
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Revision 1.340 2022/09/11 07:53:11 brouard |
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Summary: Version imach 0.99r37 |
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* imach.c (Module): Adding timevarying products of any kinds, |
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should work before shifting cotvar from ncovcol+nqv columns in |
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order to have a correspondance between the column of cotvar and |
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the id of column. |
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Revision 1.339 2022/09/09 17:55:22 brouard |
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Summary: version 0.99r37 |
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* imach.c (Module): Many improvements for fixing products of fixed |
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timevarying as well as fixed * fixed, and test with quantitative |
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covariate. |
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Revision 1.338 2022/09/04 17:40:33 brouard |
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Summary: 0.99r36 |
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* imach.c (Module): Now the easy runs i.e. without result or |
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model=1+age only did not work. The defautl combination should be 1 |
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and not 0 because everything hasn't been tranformed yet. |
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Revision 1.337 2022/09/02 14:26:02 brouard |
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Summary: version 0.99r35 |
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* src/imach.c: Version 0.99r35 because it outputs same results with |
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1+age+V1+V1*age for females and 1+age for females only |
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(education=1 noweight) |
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Revision 1.336 2022/08/31 09:52:36 brouard |
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*** empty log message *** |
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Revision 1.335 2022/08/31 08:23:16 brouard |
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Summary: improvements... |
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Revision 1.334 2022/08/25 09:08:41 brouard |
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Summary: In progress for quantitative |
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Revision 1.333 2022/08/21 09:10:30 brouard |
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* src/imach.c (Module): Version 0.99r33 A lot of changes in |
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reassigning covariates: my first idea was that people will always |
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use the first covariate V1 into the model but in fact they are |
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producing data with many covariates and can use an equation model |
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with some of the covariate; it means that in a model V2+V3 instead |
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of codtabm(k,Tvaraff[j]) which calculates for combination k, for |
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three covariates (V1, V2, V3) the value of Tvaraff[j], but in fact |
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the equation model is restricted to two variables only (V2, V3) |
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and the combination for V2 should be codtabm(k,1) instead of |
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(codtabm(k,2), and the code should be |
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codtabm(k,TnsdVar[Tvaraff[j]]. Many many changes have been |
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made. All of these should be simplified once a day like we did in |
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hpxij() for example by using precov[nres] which is computed in |
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decoderesult for each nres of each resultline. Loop should be done |
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on the equation model globally by distinguishing only product with |
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age (which are changing with age) and no more on type of |
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covariates, single dummies, single covariates. |
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Revision 1.332 2022/08/21 09:06:25 brouard |
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Summary: Version 0.99r33 |
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* src/imach.c (Module): Version 0.99r33 A lot of changes in |
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reassigning covariates: my first idea was that people will always |
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use the first covariate V1 into the model but in fact they are |
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producing data with many covariates and can use an equation model |
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with some of the covariate; it means that in a model V2+V3 instead |
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of codtabm(k,Tvaraff[j]) which calculates for combination k, for |
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three covariates (V1, V2, V3) the value of Tvaraff[j], but in fact |
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the equation model is restricted to two variables only (V2, V3) |
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and the combination for V2 should be codtabm(k,1) instead of |
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(codtabm(k,2), and the code should be |
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codtabm(k,TnsdVar[Tvaraff[j]]. Many many changes have been |
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made. All of these should be simplified once a day like we did in |
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hpxij() for example by using precov[nres] which is computed in |
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decoderesult for each nres of each resultline. Loop should be done |
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on the equation model globally by distinguishing only product with |
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age (which are changing with age) and no more on type of |
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covariates, single dummies, single covariates. |
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Revision 1.331 2022/08/07 05:40:09 brouard |
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*** empty log message *** |
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Revision 1.330 2022/08/06 07:18:25 brouard |
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Summary: last 0.99r31 |
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* imach.c (Module): Version of imach using partly decoderesult to rebuild xpxij function |
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Revision 1.329 2022/08/03 17:29:54 brouard |
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* imach.c (Module): Many errors in graphs fixed with Vn*age covariates. |
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Revision 1.328 2022/07/27 17:40:48 brouard |
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Summary: valgrind bug fixed by initializing to zero DummyV as well as Tage |
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Revision 1.327 2022/07/27 14:47:35 brouard |
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Summary: Still a problem for one-step probabilities in case of quantitative variables |
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Revision 1.326 2022/07/26 17:33:55 brouard |
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Summary: some test with nres=1 |
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Revision 1.325 2022/07/25 14:27:23 brouard |
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Summary: r30 |
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* imach.c (Module): Error cptcovn instead of nsd in bmij (was |
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coredumped, revealed by Feiuno, thank you. |
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Revision 1.324 2022/07/23 17:44:26 brouard |
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*** empty log message *** |
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Revision 1.323 2022/07/22 12:30:08 brouard |
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* imach.c (Module): Output of Wald test in the htm file and not only in the log. |
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Revision 1.322 2022/07/22 12:27:48 brouard |
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* imach.c (Module): Output of Wald test in the htm file and not only in the log. |
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Revision 1.321 2022/07/22 12:04:24 brouard |
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Summary: r28 |
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* imach.c (Module): Output of Wald test in the htm file and not only in the log. |
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Revision 1.320 2022/06/02 05:10:11 brouard |
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*** empty log message *** |
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Revision 1.319 2022/06/02 04:45:11 brouard |
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* imach.c (Module): Adding the Wald tests from the log to the main |
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htm for better display of the maximum likelihood estimators. |
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Revision 1.318 2022/05/24 08:10:59 brouard |
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* imach.c (Module): Some attempts to find a bug of wrong estimates |
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of confidencce intervals with product in the equation modelC |
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Revision 1.317 2022/05/15 15:06:23 brouard |
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* imach.c (Module): Some minor improvements |
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Revision 1.316 2022/05/11 15:11:31 brouard |
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Summary: r27 |
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Revision 1.315 2022/05/11 15:06:32 brouard |
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*** empty log message *** |
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Revision 1.314 2022/04/13 17:43:09 brouard |
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* imach.c (Module): Adding link to text data files |
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Revision 1.313 2022/04/11 15:57:42 brouard |
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* imach.c (Module): Error in rewriting the 'r' file with yearsfproj or yearsbproj fixed |
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Revision 1.312 2022/04/05 21:24:39 brouard |
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*** empty log message *** |
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Revision 1.311 2022/04/05 21:03:51 brouard |
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Summary: Fixed quantitative covariates |
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Fixed covariates (dummy or quantitative) |
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with missing values have never been allowed but are ERRORS and |
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program quits. Standard deviations of fixed covariates were |
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wrongly computed. Mean and standard deviations of time varying |
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covariates are still not computed. |
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Revision 1.310 2022/03/17 08:45:53 brouard |
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Summary: 99r25 |
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Improving detection of errors: result lines should be compatible with |
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the model. |
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Revision 1.309 2021/05/20 12:39:14 brouard |
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Summary: Version 0.99r24 |
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Revision 1.308 2021/03/31 13:11:57 brouard |
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Summary: Version 0.99r23 |
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* imach.c (Module): Still bugs in the result loop. Thank to Holly Benett |
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Revision 1.307 2021/03/08 18:11:32 brouard |
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Summary: 0.99r22 fixed bug on result: |
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Revision 1.306 2021/02/20 15:44:02 brouard |
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Summary: Version 0.99r21 |
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* imach.c (Module): Fix bug on quitting after result lines! |
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(Module): Version 0.99r21 |
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Revision 1.305 2021/02/20 15:28:30 brouard |
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* imach.c (Module): Fix bug on quitting after result lines! |
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Revision 1.304 2021/02/12 11:34:20 brouard |
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* imach.c (Module): The use of a Windows BOM (huge) file is now an error |
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Revision 1.303 2021/02/11 19:50:15 brouard |
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* (Module): imach.c Someone entered 'results:' instead of 'result:'. Now it is an error which is printed. |
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| Revision 1.302 2020/02/22 21:00:05 brouard |
Revision 1.302 2020/02/22 21:00:05 brouard |
| * (Module): imach.c Update mle=-3 (for computing Life expectancy |
* (Module): imach.c Update mle=-3 (for computing Life expectancy |
| and life table from the data without any state) |
and life table from the data without any state) |
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Line 787
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Line 990
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| The same imach parameter file can be used but the option for mle should be -3. |
The same imach parameter file can be used but the option for mle should be -3. |
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| Agnès, who wrote this part of the code, tried to keep most of the |
Agnès, who wrote this part of the code, tried to keep most of the |
| former routines in order to include the new code within the former code. |
former routines in order to include the new code within the former code. |
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| The output is very simple: only an estimate of the intercept and of |
The output is very simple: only an estimate of the intercept and of |
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Line 966 Important routines
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Line 1169 Important routines
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| - Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities) |
- Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities) |
| and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually. |
and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually. |
| - printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables |
- printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables |
| o There are 2*cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if |
o There are 2**cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if |
| race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless. |
race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless. |
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| Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr). |
Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr). |
| Institut national d'études démographiques, Paris. |
Institut national d'études démographiques, Paris. |
| This software have been partly granted by Euro-REVES, a concerted action |
This software have been partly granted by Euro-REVES, a concerted action |
| from the European Union. |
from the European Union. |
| It is copyrighted identically to a GNU software product, ie programme and |
It is copyrighted identically to a GNU software product, ie programme and |
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Line 1036 Important routines
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Line 1239 Important routines
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| #define POWELLNOF3INFF1TEST /* Skip test */ |
#define POWELLNOF3INFF1TEST /* Skip test */ |
| /* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test *\/ */ |
/* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test *\/ */ |
| /* #define MNBRAKORIGINAL /\* Don't use mnbrak fix *\/ */ |
/* #define MNBRAKORIGINAL /\* Don't use mnbrak fix *\/ */ |
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/* #define FLATSUP *//* Suppresses directions where likelihood is flat */ |
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|
| #include <math.h> |
#include <math.h> |
| #include <stdio.h> |
#include <stdio.h> |
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Line 1091 typedef struct {
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Line 1295 typedef struct {
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| #define GNUPLOTPROGRAM "gnuplot" |
#define GNUPLOTPROGRAM "gnuplot" |
| /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ |
/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ |
| #define FILENAMELENGTH 132 |
#define FILENAMELENGTH 256 |
| |
|
| #define GLOCK_ERROR_NOPATH -1 /* empty path */ |
#define GLOCK_ERROR_NOPATH -1 /* empty path */ |
| #define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */ |
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */ |
|
Line 1102 typedef struct {
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Line 1306 typedef struct {
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| #define NINTERVMAX 8 |
#define NINTERVMAX 8 |
| #define NLSTATEMAX 8 /**< Maximum number of live states (for func) */ |
#define NLSTATEMAX 8 /**< Maximum number of live states (for func) */ |
| #define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ |
#define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ |
| #define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */ |
#define NCOVMAX 30 /**< Maximum number of covariates used in the model, including generated covariates V1*V2 or V1*age */ |
| #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
#define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
| /*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/ |
/*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/ |
| #define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 |
#define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 |
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Line 1130 typedef struct {
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Line 1334 typedef struct {
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| /* $State$ */ |
/* $State$ */ |
| #include "version.h" |
#include "version.h" |
| char version[]=__IMACH_VERSION__; |
char version[]=__IMACH_VERSION__; |
| char copyright[]="May 2019,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020"; |
char copyright[]="September 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022"; |
| char fullversion[]="$Revision$ $Date$"; |
char fullversion[]="$Revision$ $Date$"; |
| char strstart[80]; |
char strstart[80]; |
| char optionfilext[10], optionfilefiname[FILENAMELENGTH]; |
char optionfilext[10], optionfilefiname[FILENAMELENGTH]; |
| int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ |
int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ |
| |
int debugILK=0; /* debugILK is set by a #d in a comment line */ |
| int nagesqr=0, nforce=0; /* nagesqr=1 if model is including age*age, number of forces */ |
int nagesqr=0, nforce=0; /* nagesqr=1 if model is including age*age, number of forces */ |
| /* Number of covariates model=V2+V1+ V3*age+V2*V4 */ |
/* Number of covariates model (1)=V2+V1+ V3*age+V2*V4 */ |
| int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */ |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
| int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */ |
int cptcovn=0; /**< cptcovn decodemodel: number of covariates k of the models excluding age*products =6 and age*age but including products */ |
| int cptcovs=0; /**< cptcovs number of simple covariates in the model V2+V1 =2 */ |
int cptcovt=0; /**< cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| int cptcovsnq=0; /**< cptcovsnq number of simple covariates in the model but non quantitative V2+V1 =2 */ |
int cptcovs=0; /**< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) */ |
| |
int cptcovsnq=0; /**< cptcovsnq number of SIMPLE covariates in the model but non quantitative V2+V1 =2 */ |
| int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ |
int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ |
| int cptcovprodnoage=0; /**< Number of covariate products without age */ |
int cptcovprodnoage=0; /**< Number of covariate products without age */ |
| int cptcoveff=0; /* Total number of covariates to vary for printing results */ |
int cptcoveff=0; /* Total number of single dummy covariates (fixed or time varying) to vary for printing results (2**cptcoveff combinations of dummies)(computed in tricode as cptcov) */ |
| int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */ |
int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */ |
| int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */ |
int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */ |
| |
int ncovvt=0; /* Total number of effective (wave) varying covariates (dummy or quantitative or products [without age]) in the model */ |
| int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */ |
int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */ |
| int nsd=0; /**< Total number of single dummy variables (output) */ |
int nsd=0; /**< Total number of single dummy variables (output) */ |
| int nsq=0; /**< Total number of single quantitative variables (output) */ |
int nsq=0; /**< Total number of single quantitative variables (output) */ |
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Line 1154 int nqfveff=0; /**< nqfveff Number of Qu
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Line 1361 int nqfveff=0; /**< nqfveff Number of Qu
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| int ntveff=0; /**< ntveff number of effective time varying variables */ |
int ntveff=0; /**< ntveff number of effective time varying variables */ |
| int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ |
int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ |
| int cptcov=0; /* Working variable */ |
int cptcov=0; /* Working variable */ |
| |
int firstobs=1, lastobs=10; /* nobs = lastobs-firstobs+1 declared globally ;*/ |
| int nobs=10; /* Number of observations in the data lastobs-firstobs */ |
int nobs=10; /* Number of observations in the data lastobs-firstobs */ |
| int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */ |
int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */ |
| int npar=NPARMAX; /* Number of parameters (nlstate+ndeath-1)*nlstate*ncovmodel; */ |
int npar=NPARMAX; /* Number of parameters (nlstate+ndeath-1)*nlstate*ncovmodel; */ |
| int nlstate=2; /* Number of live states */ |
int nlstate=2; /* Number of live states */ |
| int ndeath=1; /* Number of dead states */ |
int ndeath=1; /* Number of dead states */ |
| int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ |
| int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable */ |
int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable*/ |
| |
int ncovcolt=0; /* ncovcolt=ncovcol+nqv+ntv+nqtv; total of covariates in the data, not in the model equation*/ |
| int popbased=0; |
int popbased=0; |
| |
|
| int *wav; /* Number of waves for this individuual 0 is possible */ |
int *wav; /* Number of waves for this individuual 0 is possible */ |
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Line 1293 int *ncodemaxwundef; /* ncodemax[j]= Nu
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Line 1502 int *ncodemaxwundef; /* ncodemax[j]= Nu
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| double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; |
double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; |
| double **pmmij, ***probs; /* Global pointer */ |
double **pmmij, ***probs; /* Global pointer */ |
| double ***mobaverage, ***mobaverages; /* New global variable */ |
double ***mobaverage, ***mobaverages; /* New global variable */ |
| |
double **precov; /* New global variable to store for each resultline, values of model covariates given by the resultlines (in order to speed up) */ |
| double *ageexmed,*agecens; |
double *ageexmed,*agecens; |
| double dateintmean=0; |
double dateintmean=0; |
| double anprojd, mprojd, jprojd; /* For eventual projections */ |
double anprojd, mprojd, jprojd; /* For eventual projections */ |
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Line 1308 double **covar; /**< covar[j,i], value
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Line 1518 double **covar; /**< covar[j,i], value
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| * covar=matrix(0,NCOVMAX,1,n); |
* covar=matrix(0,NCOVMAX,1,n); |
| * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ |
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ |
| double **coqvar; /* Fixed quantitative covariate nqv */ |
double **coqvar; /* Fixed quantitative covariate nqv */ |
| double ***cotvar; /* Time varying covariate ntv */ |
double ***cotvar; /* Time varying covariate start at ncovcol + nqv + (1 to ntv) */ |
| double ***cotqvar; /* Time varying quantitative covariate itqv */ |
double ***cotqvar; /* Time varying quantitative covariate itqv */ |
| double idx; |
double idx; |
| int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ |
int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ |
| /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* Some documentation */ |
| /*k 1 2 3 4 5 6 7 8 9 */ |
/* Design original data |
| /*Tvar[k]= 5 4 3 6 5 2 7 1 1 */ |
* V1 V2 V3 V4 V5 V6 V7 V8 Weight ddb ddth d1st s1 V9 V10 V11 V12 s2 V9 V10 V11 V12 |
| /* Tndvar[k] 1 2 3 4 5 */ |
* < ncovcol=6 > nqv=2 (V7 V8) dv dv dv qtv dv dv dvv qtv |
| /*TDvar 4 3 6 7 1 */ /* For outputs only; combination of dummies fixed or varying */ |
* ntv=3 nqtv=1 |
| /* Tns[k] 1 2 2 4 5 */ /* Number of single cova */ |
* cptcovn number of covariates (not including constant and age or age*age) = number of plus sign + 1 = 10+1=11 |
| /* TvarsD[k] 1 2 3 */ /* Number of single dummy cova */ |
* For time varying covariate, quanti or dummies |
| /* TvarsDind 2 3 9 */ /* position K of single dummy cova */ |
* cotqvar[wav][iv(1 to nqtv)][i]= [1][12][i]=(V12) quanti |
| /* TvarsQ[k] 1 2 */ /* Number of single quantitative cova */ |
* cotvar[wav][ncovcol+nqv+ iv(1 to nqtv)][i]= [(1 to nqtv)][i]=(V12) quanti |
| /* TvarsQind 1 6 */ /* position K of single quantitative cova */ |
* cotvar[wav][iv(1 to ntv)][i]= [1][1][i]=(V9) dummies at wav 1 |
| /* Tprod[i]=k 4 7 */ |
* cotvar[wav][iv(1 to ntv)][i]= [1][2][i]=(V10) dummies at wav 1 |
| /* Tage[i]=k 5 8 */ |
* covar[Vk,i], value of the Vkth fixed covariate dummy or quanti for individual i: |
| /* */ |
* covar[1][i]= (V1), covar[4][i]=(V4), covar[8][i]=(V8) |
| |
* Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 + V9 + V9*age + V10 |
| |
* k= 1 2 3 4 5 6 7 8 9 10 11 |
| |
*/ |
| |
/* According to the model, more columns can be added to covar by the product of covariates */ |
| |
/* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1 |
| |
# States 1=Coresidence, 2 Living alone, 3 Institution |
| |
# V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi |
| |
*/ |
| |
/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| |
/* k 1 2 3 4 5 6 7 8 9 */ |
| |
/*Typevar[k]= 0 0 0 2 1 0 2 1 0 *//*0 for simple covariate (dummy, quantitative,*/ |
| |
/* fixed or varying), 1 for age product, 2 for*/ |
| |
/* product */ |
| |
/*Dummy[k]= 1 0 0 1 3 1 1 2 0 *//*Dummy[k] 0=dummy (0 1), 1 quantitative */ |
| |
/*(single or product without age), 2 dummy*/ |
| |
/* with age product, 3 quant with age product*/ |
| |
/*Tvar[k]= 5 4 3 6 5 2 7 1 1 */ |
| |
/* nsd 1 2 3 */ /* Counting single dummies covar fixed or tv */ |
| |
/*TnsdVar[Tvar] 1 2 3 */ |
| |
/*Tvaraff[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
| |
/*TvarsD[nsd] 4 3 1 */ /* ID of single dummy cova fixed or timevary*/ |
| |
/*TvarsDind[nsd] 2 3 9 */ /* position K of single dummy cova */ |
| |
/* nsq 1 2 */ /* Counting single quantit tv */ |
| |
/* TvarsQ[k] 5 2 */ /* Number of single quantitative cova */ |
| |
/* TvarsQind 1 6 */ /* position K of single quantitative cova */ |
| |
/* Tprod[i]=k 1 2 */ /* Position in model of the ith prod without age */ |
| |
/* cptcovage 1 2 */ /* Counting cov*age in the model equation */ |
| |
/* Tage[cptcovage]=k 5 8 */ /* Position in the model of ith cov*age */ |
| |
/* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ |
| |
/* Tvardk[4][1]=4;Tvardk[4][2]=3;Tvardk[7][1]=1;Tvardk[7][2]=2 */ /* Variables of a prod at position in the model equation*/ |
| |
/* TvarF TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
| |
/* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
| /* Type */ |
/* Type */ |
| /* V 1 2 3 4 5 */ |
/* V 1 2 3 4 5 */ |
| /* F F V V V */ |
/* F F V V V */ |
| /* D Q D D Q */ |
/* D Q D D Q */ |
| /* */ |
/* */ |
| int *TvarsD; |
int *TvarsD; |
| |
int *TnsdVar; |
| int *TvarsDind; |
int *TvarsDind; |
| int *TvarsQ; |
int *TvarsQ; |
| int *TvarsQind; |
int *TvarsQind; |
| |
|
| #define MAXRESULTLINES 10 |
#define MAXRESULTLINESPONE 10+1 |
| int nresult=0; |
int nresult=0; |
| int parameterline=0; /* # of the parameter (type) line */ |
int parameterline=0; /* # of the parameter (type) line */ |
| int TKresult[MAXRESULTLINES]; |
int TKresult[MAXRESULTLINESPONE]; /* TKresult[nres]=k for each resultline nres give the corresponding combination of dummies */ |
| int Tresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */ |
int resultmodel[MAXRESULTLINESPONE][NCOVMAX];/* resultmodel[k1]=k3: k1th position in the model corresponds to the k3 position in the resultline */ |
| int Tinvresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */ |
int modelresult[MAXRESULTLINESPONE][NCOVMAX];/* modelresult[k3]=k1: k1th position in the model corresponds to the k3 position in the resultline */ |
| int Tvresult[MAXRESULTLINES][NCOVMAX]; /* For dummy variable , variable # (output) */ |
int Tresult[MAXRESULTLINESPONE][NCOVMAX];/* Tresult[nres][result_position]= value of the dummy variable at the result_position in the nres resultline */ |
| double Tqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */ |
int Tinvresult[MAXRESULTLINESPONE][NCOVMAX];/* Tinvresult[nres][Name of a dummy variable]= value of the variable in the result line */ |
| double Tqinvresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */ |
double TinvDoQresult[MAXRESULTLINESPONE][NCOVMAX];/* TinvDoQresult[nres][Name of a Dummy or Q variable]= value of the variable in the result line */ |
| int Tvqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , variable # (output) */ |
int Tvresult[MAXRESULTLINESPONE][NCOVMAX]; /* Tvresult[nres][result_position]= name of the dummy variable at the result_position in the nres resultline */ |
| |
double Tqresult[MAXRESULTLINESPONE][NCOVMAX]; /* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */ |
| |
double Tqinvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */ |
| |
int Tvqresult[MAXRESULTLINESPONE][NCOVMAX]; /* Tvqresult[nres][result_position]= id of the variable at the result_position in the nres resultline */ |
| |
|
| |
/* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1 |
| |
# States 1=Coresidence, 2 Living alone, 3 Institution |
| |
# V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi |
| |
*/ |
| /* int *TDvar; /\**< TDvar[1]=4, TDvarF[2]=3, TDvar[3]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ |
/* int *TDvar; /\**< TDvar[1]=4, TDvarF[2]=3, TDvar[3]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ |
| int *TvarF; /**< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
int *TvarF; /**< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| int *TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
int *TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
|
Line 1361 int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3
|
Line 1611 int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3
|
| int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
| int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
| int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
| |
int *TvarVV; /* We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */ |
| |
int *TvarVVind; /* We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */ |
| |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
| |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
/* TvarVV={3,1,3}, for V3 and then the product V1*V3 is decomposed into V1 and V3 */ |
| |
/* TvarVVind={2,5,5}, for V3 and then the product V1*V3 is decomposed into V1 and V3 */ |
| int *Tvarsel; /**< Selected covariates for output */ |
int *Tvarsel; /**< Selected covariates for output */ |
| double *Tvalsel; /**< Selected modality value of covariate for output */ |
double *Tvalsel; /**< Selected modality value of covariate for output */ |
| int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
|
Line 1377 int *TmodelInvQind; /** Tmodelqind[1]=1
|
Line 1633 int *TmodelInvQind; /** Tmodelqind[1]=1
|
| int *Ndum; /** Freq of modality (tricode */ |
int *Ndum; /** Freq of modality (tricode */ |
| /* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
/* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ |
| int **Tvard; |
int **Tvard; |
| |
int **Tvardk; |
| int *Tprod;/**< Gives the k position of the k1 product */ |
int *Tprod;/**< Gives the k position of the k1 product */ |
| /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 */ |
/* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 */ |
| int *Tposprod; /**< Gives the k1 product from the k position */ |
int *Tposprod; /**< Gives the k1 product from the k position */ |
|
Line 1547 char *cutl(char *blocc, char *alocc, cha
|
Line 1804 char *cutl(char *blocc, char *alocc, cha
|
| { |
{ |
| /* cuts string in into blocc and alocc where blocc ends before FIRST occurence of char 'occ' |
/* cuts string in into blocc and alocc where blocc ends before FIRST occurence of char 'occ' |
| and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2') |
and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2') |
| gives blocc="abcdef" and alocc="ghi2j". |
gives alocc="abcdef" and blocc="ghi2j". |
| If occ is not found blocc is null and alocc is equal to in. Returns blocc |
If occ is not found blocc is null and alocc is equal to in. Returns blocc |
| */ |
*/ |
| char *s, *t; |
char *s, *t; |
|
Line 1829 char *subdirf(char fileres[])
|
Line 2086 char *subdirf(char fileres[])
|
| /*************** function subdirf2 ***********/ |
/*************** function subdirf2 ***********/ |
| char *subdirf2(char fileres[], char *preop) |
char *subdirf2(char fileres[], char *preop) |
| { |
{ |
| |
/* Example subdirf2(optionfilefiname,"FB_") with optionfilefiname="texte", result="texte/FB_texte" |
| |
Errors in subdirf, 2, 3 while printing tmpout is |
| |
rewritten within the same printf. Workaround: many printfs */ |
| /* Caution optionfilefiname is hidden */ |
/* Caution optionfilefiname is hidden */ |
| strcpy(tmpout,optionfilefiname); |
strcpy(tmpout,optionfilefiname); |
| strcat(tmpout,"/"); |
strcat(tmpout,"/"); |
|
Line 2200 void linmin(double p[], double xi[], int
|
Line 2459 void linmin(double p[], double xi[], int
|
| #endif |
#endif |
| #ifdef LINMINORIGINAL |
#ifdef LINMINORIGINAL |
| #else |
#else |
| if(fb == fx){ /* Flat function in the direction */ |
if(fb == fx){ /* Flat function in the direction */ |
| xmin=xx; |
xmin=xx; |
| *flat=1; |
*flat=1; |
| }else{ |
}else{ |
| *flat=0; |
*flat=0; |
| #endif |
#endif |
| /*Flat mnbrak2 shift (*ax=0.000000000000, *fa=51626.272983130431), (*bx=-1.618034000000, *fb=51590.149499362531), (*cx=-4.236068025156, *fc=51590.149499362531) */ |
/*Flat mnbrak2 shift (*ax=0.000000000000, *fa=51626.272983130431), (*bx=-1.618034000000, *fb=51590.149499362531), (*cx=-4.236068025156, *fc=51590.149499362531) */ |
|
Line 2261 void linmin(double p[], double xi[], int
|
Line 2520 void linmin(double p[], double xi[], int
|
| |
|
| /*************** powell ************************/ |
/*************** powell ************************/ |
| /* |
/* |
| Minimization of a function func of n variables. Input consists of an initial starting point |
Minimization of a function func of n variables. Input consists in an initial starting point |
| p[1..n] ; an initial matrix xi[1..n][1..n] , whose columns contain the initial set of di- |
p[1..n] ; an initial matrix xi[1..n][1..n] whose columns contain the initial set of di- |
| rections (usually the n unit vectors); and ftol , the fractional tolerance in the function value |
rections (usually the n unit vectors); and ftol, the fractional tolerance in the function value |
| such that failure to decrease by more than this amount on one iteration signals doneness. On |
such that failure to decrease by more than this amount in one iteration signals doneness. On |
| output, p is set to the best point found, xi is the then-current direction set, fret is the returned |
output, p is set to the best point found, xi is the then-current direction set, fret is the returned |
| function value at p , and iter is the number of iterations taken. The routine linmin is used. |
function value at p , and iter is the number of iterations taken. The routine linmin is used. |
| */ |
*/ |
|
Line 2289 void powell(double p[], double **xi, int
|
Line 2548 void powell(double p[], double **xi, int
|
| double fp,fptt; |
double fp,fptt; |
| double *xits; |
double *xits; |
| int niterf, itmp; |
int niterf, itmp; |
| #ifdef LINMINORIGINAL |
|
| #else |
|
| |
|
| flatdir=ivector(1,n); |
|
| for (j=1;j<=n;j++) flatdir[j]=0; |
|
| #endif |
|
| |
|
| pt=vector(1,n); |
pt=vector(1,n); |
| ptt=vector(1,n); |
ptt=vector(1,n); |
|
Line 2302 void powell(double p[], double **xi, int
|
Line 2555 void powell(double p[], double **xi, int
|
| xits=vector(1,n); |
xits=vector(1,n); |
| *fret=(*func)(p); |
*fret=(*func)(p); |
| for (j=1;j<=n;j++) pt[j]=p[j]; |
for (j=1;j<=n;j++) pt[j]=p[j]; |
| rcurr_time = time(NULL); |
rcurr_time = time(NULL); |
| |
fp=(*fret); /* Initialisation */ |
| for (*iter=1;;++(*iter)) { |
for (*iter=1;;++(*iter)) { |
| fp=(*fret); /* From former iteration or initial value */ |
|
| ibig=0; |
ibig=0; |
| del=0.0; |
del=0.0; |
| rlast_time=rcurr_time; |
rlast_time=rcurr_time; |
| /* (void) gettimeofday(&curr_time,&tzp); */ |
/* (void) gettimeofday(&curr_time,&tzp); */ |
| rcurr_time = time(NULL); |
rcurr_time = time(NULL); |
| curr_time = *localtime(&rcurr_time); |
curr_time = *localtime(&rcurr_time); |
| printf("\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout); |
/* printf("\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*fret,fp-*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout); */ |
| fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); |
/* fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*fret,fp-*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); */ |
| |
printf("\nPowell iter=%d -2*LL=%.12f gain=%.3lg %ld sec. %ld sec.",*iter,*fret,fp-*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout); |
| |
fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f gain=%.3lg %ld sec. %ld sec.",*iter,*fret,fp-*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); |
| /* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */ |
/* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */ |
| |
fp=(*fret); /* From former iteration or initial value */ |
| for (i=1;i<=n;i++) { |
for (i=1;i<=n;i++) { |
| fprintf(ficrespow," %.12lf", p[i]); |
fprintf(ficrespow," %.12lf", p[i]); |
| } |
} |
|
Line 2418 void powell(double p[], double **xi, int
|
Line 2674 void powell(double p[], double **xi, int
|
| /* Convergence test will use last linmin estimation (fret) and compare former iteration (fp) */ |
/* Convergence test will use last linmin estimation (fret) and compare former iteration (fp) */ |
| /* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ |
/* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ |
| /* New value of last point Pn is not computed, P(n-1) */ |
/* New value of last point Pn is not computed, P(n-1) */ |
| for(j=1;j<=n;j++) { |
for(j=1;j<=n;j++) { |
| if(flatdir[j] >0){ |
if(flatdir[j] >0){ |
| printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
| fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); |
| } |
|
| /* printf("\n"); */ |
|
| /* fprintf(ficlog,"\n"); */ |
|
| } |
} |
| |
/* printf("\n"); */ |
| |
/* fprintf(ficlog,"\n"); */ |
| |
} |
| /* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /\* Did we reach enough precision? *\/ */ |
/* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /\* Did we reach enough precision? *\/ */ |
| if (2.0*fabs(fp-(*fret)) <= ftol) { /* Did we reach enough precision? */ |
if (2.0*fabs(fp-(*fret)) <= ftol) { /* Did we reach enough precision? */ |
| /* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ |
/* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ |
|
Line 2463 void powell(double p[], double **xi, int
|
Line 2719 void powell(double p[], double **xi, int
|
| } |
} |
| #endif |
#endif |
| |
|
| #ifdef LINMINORIGINAL |
|
| #else |
|
| free_ivector(flatdir,1,n); |
|
| #endif |
|
| free_vector(xit,1,n); |
free_vector(xit,1,n); |
| free_vector(xits,1,n); |
free_vector(xits,1,n); |
| free_vector(ptt,1,n); |
free_vector(ptt,1,n); |
|
Line 2580 void powell(double p[], double **xi, int
|
Line 2832 void powell(double p[], double **xi, int
|
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| |
#ifdef FLATSUP |
| |
free_vector(xit,1,n); |
| |
free_vector(xits,1,n); |
| |
free_vector(ptt,1,n); |
| |
free_vector(pt,1,n); |
| |
return; |
| |
#endif |
| } |
} |
| #endif |
#endif |
| printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); |
|
Line 2611 void powell(double p[], double **xi, int
|
Line 2870 void powell(double p[], double **xi, int
|
| |
|
| double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres) |
double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres) |
| { |
{ |
| /**< Computes the prevalence limit in each live state at age x and for covariate combination ij |
/**< Computes the prevalence limit in each live state at age x and for covariate combination ij . Nicely done |
| * (and selected quantitative values in nres) |
* (and selected quantitative values in nres) |
| * by left multiplying the unit |
* by left multiplying the unit |
| * matrix by transitions matrix until convergence is reached with precision ftolpl |
* matrix by transitions matrix until convergence is reached with precision ftolpl |
|
Line 2636 void powell(double p[], double **xi, int
|
Line 2895 void powell(double p[], double **xi, int
|
| /* 0.51326036147820708, 0.48673963852179264} */ |
/* 0.51326036147820708, 0.48673963852179264} */ |
| /* If we start from prlim again, prlim tends to a constant matrix */ |
/* If we start from prlim again, prlim tends to a constant matrix */ |
| |
|
| int i, ii,j,k; |
int i, ii,j,k, k1; |
| double *min, *max, *meandiff, maxmax,sumnew=0.; |
double *min, *max, *meandiff, maxmax,sumnew=0.; |
| /* double **matprod2(); */ /* test */ |
/* double **matprod2(); */ /* test */ |
| double **out, cov[NCOVMAX+1], **pmij(); /* **pmmij is a global variable feeded with oldms etc */ |
double **out, cov[NCOVMAX+1], **pmij(); /* **pmmij is a global variable feeded with oldms etc */ |
|
Line 2664 void powell(double p[], double **xi, int
|
Line 2923 void powell(double p[], double **xi, int
|
| newm=savm; |
newm=savm; |
| /* Covariates have to be included here again */ |
/* Covariates have to be included here again */ |
| cov[2]=agefin; |
cov[2]=agefin; |
| if(nagesqr==1) |
if(nagesqr==1){ |
| cov[3]= agefin*agefin;; |
cov[3]= agefin*agefin; |
| for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ |
} |
| /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
| cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
/* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| /* printf("prevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| } |
if(Typevar[k1]==1){ /* A product with age */ |
| for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| /* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
}else{ |
| cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; |
cov[2+nagesqr+k1]=precov[nres][k1]; |
| /* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ |
} |
| } |
}/* End of loop on model equation */ |
| for (k=1; k<=cptcovage;k++){ /* For product with age */ |
|
| if(Dummy[Tvar[Tage[k]]]){ |
/* Start of old code (replaced by a loop on position in the model equation */ |
| cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
/* for (k=1; k<=nsd;k++) { /\* For single dummy covariates only of the model *\/ */ |
| } else{ |
/* /\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates *\/ */ |
| cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; |
/* /\* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])]; *\/ */ |
| } |
/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TnsdVar[TvarsD[k]])]; */ |
| /* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ |
/* /\* model = 1 +age + V1*V3 + age*V1 + V2 + V1 + age*V2 + V3 + V3*age + V1*V2 */ |
| } |
/* * k 1 2 3 4 5 6 7 8 */ |
| for (k=1; k<=cptcovprod;k++){ /* For product without age */ |
/* *cov[] 1 2 3 4 5 6 7 8 9 10 */ |
| /* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ |
/* *TypeVar[k] 2 1 0 0 1 0 1 2 */ |
| if(Dummy[Tvard[k][1]==0]){ |
/* *Dummy[k] 0 2 0 0 2 0 2 0 */ |
| if(Dummy[Tvard[k][2]==0]){ |
/* *Tvar[k] 4 1 2 1 2 3 3 5 */ |
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; |
/* *nsd=3 (1) (2) (3) */ |
| }else{ |
/* *TvarsD[nsd] [1]=2 1 3 */ |
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; |
/* *TnsdVar [2]=2 [1]=1 [3]=3 */ |
| } |
/* *TvarsDind[nsd](=k) [1]=3 [2]=4 [3]=6 */ |
| }else{ |
/* *Tage[] [1]=1 [2]=2 [3]=3 */ |
| if(Dummy[Tvard[k][2]==0]){ |
/* *Tvard[] [1][1]=1 [2][1]=1 */ |
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; |
/* * [1][2]=3 [2][2]=2 */ |
| }else{ |
/* *Tprod[](=k) [1]=1 [2]=8 */ |
| cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; |
/* *TvarsDp(=Tvar) [1]=1 [2]=2 [3]=3 [4]=5 */ |
| } |
/* *TvarD (=k) [1]=1 [2]=3 [3]=4 [3]=6 [4]=6 */ |
| } |
/* *TvarsDpType */ |
| } |
/* *si model= 1 + age + V3 + V2*age + V2 + V3*age */ |
| |
/* * nsd=1 (1) (2) */ |
| |
/* *TvarsD[nsd] 3 2 */ |
| |
/* *TnsdVar (3)=1 (2)=2 */ |
| |
/* *TvarsDind[nsd](=k) [1]=1 [2]=3 */ |
| |
/* *Tage[] [1]=2 [2]= 3 */ |
| |
/* *\/ */ |
| |
/* /\* cov[++k1]=nbcode[TvarsD[k]][codtabm(ij,k)]; *\/ */ |
| |
/* /\* printf("prevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); *\/ */ |
| |
/* } */ |
| |
/* for (k=1; k<=nsq;k++) { /\* For single quantitative varying covariates only of the model *\/ */ |
| |
/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates *\/ */ |
| |
/* /\* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline *\/ */ |
| |
/* /\* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; *\/ */ |
| |
/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][resultmodel[nres][k1]] */ |
| |
/* /\* cov[++k1]=Tqresult[nres][k]; *\/ */ |
| |
/* /\* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); *\/ */ |
| |
/* } */ |
| |
/* for (k=1; k<=cptcovage;k++){ /\* For product with age *\/ */ |
| |
/* if(Dummy[Tage[k]]==2){ /\* dummy with age *\/ */ |
| |
/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ |
| |
/* /\* cov[++k1]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; *\/ */ |
| |
/* } else if(Dummy[Tage[k]]==3){ /\* quantitative with age *\/ */ |
| |
/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */ |
| |
/* /\* cov[++k1]=Tqresult[nres][k]; *\/ */ |
| |
/* } */ |
| |
/* /\* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); *\/ */ |
| |
/* } */ |
| |
/* for (k=1; k<=cptcovprod;k++){ /\* For product without age *\/ */ |
| |
/* /\* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); *\/ */ |
| |
/* if(Dummy[Tvard[k][1]]==0){ */ |
| |
/* if(Dummy[Tvard[k][2]]==0){ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
| |
/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
| |
/* }else{ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */ |
| |
/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; *\/ */ |
| |
/* } */ |
| |
/* }else{ */ |
| |
/* if(Dummy[Tvard[k][2]]==0){ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */ |
| |
/* /\* cov[++k1]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; *\/ */ |
| |
/* }else{ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */ |
| |
/* /\* cov[++k1]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; *\/ */ |
| |
/* } */ |
| |
/* } */ |
| |
/* } /\* End product without age *\/ */ |
| |
/* ENd of old code */ |
| /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
| /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
| /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ |
/*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ |
| /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
| /* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind *\/ */ |
/* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind *\/ */ |
| /* age and covariate values of ij are in 'cov' */ |
/* age and covariate values of ij are in 'cov' */ |
| out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */ |
out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */ |
| |
|
| savm=oldm; |
savm=oldm; |
|
Line 2745 void powell(double p[], double **xi, int
|
Line 3052 void powell(double p[], double **xi, int
|
| if(!first){ |
if(!first){ |
| first=1; |
first=1; |
| printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
| |
fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
| |
}else if (first >=1 && first <10){ |
| |
fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
| |
first++; |
| |
}else if (first ==10){ |
| |
fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
| |
printf("Warning: the stable prevalence dit not converge. This warning came too often, IMaCh will stop notifying, even in its log file. Look at the graphs to appreciate the non convergence.\n"); |
| |
fprintf(ficlog,"Warning: the stable prevalence no convergence; too many cases, giving up noticing, even in log file\n"); |
| |
first++; |
| } |
} |
| fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax); |
|
| |
|
| /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */ |
/* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */ |
| free_vector(min,1,nlstate); |
free_vector(min,1,nlstate); |
|
Line 2783 void powell(double p[], double **xi, int
|
Line 3098 void powell(double p[], double **xi, int
|
| /* 0.51326036147820708, 0.48673963852179264} */ |
/* 0.51326036147820708, 0.48673963852179264} */ |
| /* If we start from prlim again, prlim tends to a constant matrix */ |
/* If we start from prlim again, prlim tends to a constant matrix */ |
| |
|
| int i, ii,j,k; |
int i, ii,j,k, k1; |
| int first=0; |
int first=0; |
| double *min, *max, *meandiff, maxmax,sumnew=0.; |
double *min, *max, *meandiff, maxmax,sumnew=0.; |
| /* double **matprod2(); */ /* test */ |
/* double **matprod2(); */ /* test */ |
|
Line 2820 void powell(double p[], double **xi, int
|
Line 3135 void powell(double p[], double **xi, int
|
| /* newm points to the allocated table savm passed by the function it can be written, savm could be reallocated */ |
/* newm points to the allocated table savm passed by the function it can be written, savm could be reallocated */ |
| /* Covariates have to be included here again */ |
/* Covariates have to be included here again */ |
| cov[2]=agefin; |
cov[2]=agefin; |
| if(nagesqr==1) |
if(nagesqr==1){ |
| cov[3]= agefin*agefin;; |
cov[3]= agefin*agefin;; |
| for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ |
} |
| /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
if(Typevar[k1]==1){ /* A product with age */ |
| /* printf("bprevalim Dummy agefin=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agefin,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| } |
|
| /* for (k=1; k<=cptcovn;k++) { */ |
|
| /* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\/ */ |
|
| /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ |
|
| /* /\* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); *\/ */ |
|
| /* } */ |
|
| for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
|
| /* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
|
| cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; |
|
| /* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ |
|
| } |
|
| /* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; */ |
|
| /* for (k=1; k<=cptcovprod;k++) /\* Useless *\/ */ |
|
| /* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; *\/ */ |
|
| /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; */ |
|
| for (k=1; k<=cptcovage;k++){ /* For product with age */ |
|
| if(Dummy[Tvar[Tage[k]]]){ |
|
| cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
|
| } else{ |
|
| cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; |
|
| } |
|
| /* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ |
|
| } |
|
| for (k=1; k<=cptcovprod;k++){ /* For product without age */ |
|
| /* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ |
|
| if(Dummy[Tvard[k][1]==0]){ |
|
| if(Dummy[Tvard[k][2]==0]){ |
|
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; |
|
| }else{ |
|
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; |
|
| } |
|
| }else{ |
}else{ |
| if(Dummy[Tvard[k][2]==0]){ |
cov[2+nagesqr+k1]=precov[nres][k1]; |
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; |
|
| }else{ |
|
| cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; |
|
| } |
|
| } |
} |
| } |
}/* End of loop on model equation */ |
| |
|
| |
/* Old code */ |
| |
|
| |
/* for (k=1; k<=nsd;k++) { /\* For single dummy covariates only *\/ */ |
| |
/* /\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates *\/ */ |
| |
/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])]; */ |
| |
/* /\* printf("bprevalim Dummy agefin=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agefin,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); *\/ */ |
| |
/* } */ |
| |
/* /\* for (k=1; k<=cptcovn;k++) { *\/ */ |
| |
/* /\* /\\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\\/ *\/ */ |
| |
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; *\/ */ |
| |
/* /\* /\\* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); *\\/ *\/ */ |
| |
/* /\* } *\/ */ |
| |
/* for (k=1; k<=nsq;k++) { /\* For single varying covariates only *\/ */ |
| |
/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates *\/ */ |
| |
/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; */ |
| |
/* /\* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); *\/ */ |
| |
/* } */ |
| |
/* /\* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; *\/ */ |
| |
/* /\* for (k=1; k<=cptcovprod;k++) /\\* Useless *\\/ *\/ */ |
| |
/* /\* /\\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; *\\/ *\/ */ |
| |
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
| |
/* for (k=1; k<=cptcovage;k++){ /\* For product with age *\/ */ |
| |
/* /\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\* dummy with age *\\/ ERROR ???*\/ */ |
| |
/* if(Dummy[Tage[k]]== 2){ /\* dummy with age *\/ */ |
| |
/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ |
| |
/* } else if(Dummy[Tage[k]]== 3){ /\* quantitative with age *\/ */ |
| |
/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */ |
| |
/* } */ |
| |
/* /\* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); *\/ */ |
| |
/* } */ |
| |
/* for (k=1; k<=cptcovprod;k++){ /\* For product without age *\/ */ |
| |
/* /\* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); *\/ */ |
| |
/* if(Dummy[Tvard[k][1]]==0){ */ |
| |
/* if(Dummy[Tvard[k][2]]==0){ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
| |
/* }else{ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */ |
| |
/* } */ |
| |
/* }else{ */ |
| |
/* if(Dummy[Tvard[k][2]]==0){ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */ |
| |
/* }else{ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */ |
| |
/* } */ |
| |
/* } */ |
| |
/* } */ |
| |
|
| /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
/*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ |
| /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
/*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ |
|
Line 2915 void powell(double p[], double **xi, int
|
Line 3242 void powell(double p[], double **xi, int
|
| |
|
| maxmax=0.; |
maxmax=0.; |
| for(i=1; i<=nlstate; i++){ |
for(i=1; i<=nlstate; i++){ |
| meandiff[i]=(max[i]-min[i])/(max[i]+min[i])*2.; /* mean difference for each column */ |
meandiff[i]=(max[i]-min[i])/(max[i]+min[i])*2.; /* mean difference for each column, could be nan! */ |
| maxmax=FMAX(maxmax,meandiff[i]); |
maxmax=FMAX(maxmax,meandiff[i]); |
| /* printf("Back age= %d meandiff[%d]=%f, agefin=%d max[%d]=%f min[%d]=%f maxmax=%f\n", (int)age, i, meandiff[i],(int)agefin, i, max[i], i, min[i],maxmax); */ |
/* printf("Back age= %d meandiff[%d]=%f, agefin=%d max[%d]=%f min[%d]=%f maxmax=%f\n", (int)age, i, meandiff[i],(int)agefin, i, max[i], i, min[i],maxmax); */ |
| } /* i loop */ |
} /* i loop */ |
|
Line 2975 double **pmij(double **ps, double *cov,
|
Line 3302 double **pmij(double **ps, double *cov,
|
| /* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
| } |
} |
| ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
| /* printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */ |
/* printf("Debug pmij() i=%d j=%d nc=%d s1=%.17f, lnpijopii=%.17f\n",i,j,nc, s1,lnpijopii); */ |
| } |
} |
| for(j=i+1; j<=nlstate+ndeath;j++){ |
for(j=i+1; j<=nlstate+ndeath;j++){ |
| for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){ |
for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){ |
|
Line 2984 double **pmij(double **ps, double *cov,
|
Line 3311 double **pmij(double **ps, double *cov,
|
| /* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ |
/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ |
| } |
} |
| ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ |
| |
/* printf("Debug pmij() i=%d j=%d nc=%d s1=%.17f, lnpijopii=%.17f\n",i,j,nc, s1,lnpijopii); */ |
| } |
} |
| } |
} |
| |
|
| for(i=1; i<= nlstate; i++){ |
for(i=1; i<= nlstate; i++){ |
| s1=0; |
s1=0; |
| for(j=1; j<i; j++){ |
for(j=1; j<i; j++){ |
| |
/* printf("debug1 %d %d ps=%lf exp(ps)=%lf \n",i,j,ps[i][j],exp(ps[i][j])); */ |
| s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
| /*printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
|
| } |
} |
| for(j=i+1; j<=nlstate+ndeath; j++){ |
for(j=i+1; j<=nlstate+ndeath; j++){ |
| |
/* printf("debug2 %d %d ps=%lf exp(ps)=%lf \n",i,j,ps[i][j],exp(ps[i][j])); */ |
| s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
s1+=exp(ps[i][j]); /* In fact sums pij/pii */ |
| /*printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */ |
|
| } |
} |
| /* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */ |
/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */ |
| ps[i][i]=1./(s1+1.); |
ps[i][i]=1./(s1+1.); |
| /* Computing other pijs */ |
/* Computing other pijs */ |
| for(j=1; j<i; j++) |
for(j=1; j<i; j++) |
| ps[i][j]= exp(ps[i][j])*ps[i][i]; |
ps[i][j]= exp(ps[i][j])*ps[i][i];/* Bug valgrind */ |
| for(j=i+1; j<=nlstate+ndeath; j++) |
for(j=i+1; j<=nlstate+ndeath; j++) |
| ps[i][j]= exp(ps[i][j])*ps[i][i]; |
ps[i][j]= exp(ps[i][j])*ps[i][i]; |
| /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */ |
/* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */ |
|
Line 3049 double **pmij(double **ps, double *cov,
|
Line 3377 double **pmij(double **ps, double *cov,
|
| doldm=ddoldms; /* global pointers */ |
doldm=ddoldms; /* global pointers */ |
| dnewm=ddnewms; |
dnewm=ddnewms; |
| dsavm=ddsavms; |
dsavm=ddsavms; |
| |
|
| |
/* Debug */ |
| |
/* printf("Bmij ij=%d, cov[2}=%f\n", ij, cov[2]); */ |
| agefin=cov[2]; |
agefin=cov[2]; |
| /* Bx = Diag(w_x) P_x Diag(Sum_i w^i_x p^ij_x */ |
/* Bx = Diag(w_x) P_x Diag(Sum_i w^i_x p^ij_x */ |
| /* bmij *//* age is cov[2], ij is included in cov, but we need for |
/* bmij *//* age is cov[2], ij is included in cov, but we need for |
|
Line 3057 double **pmij(double **ps, double *cov,
|
Line 3387 double **pmij(double **ps, double *cov,
|
| /* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
/* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
| |
|
| /* P_x */ |
/* P_x */ |
| pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /*This is forward probability from agefin to agefin + stepm */ |
pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /*This is forward probability from agefin to agefin + stepm *//* Bug valgrind */ |
| /* outputs pmmij which is a stochastic matrix in row */ |
/* outputs pmmij which is a stochastic matrix in row */ |
| |
|
| /* Diag(w_x) */ |
/* Diag(w_x) */ |
|
Line 3237 double **matprod2(double **out, double *
|
Line 3567 double **matprod2(double **out, double *
|
| |
|
| double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij, int nres ) |
double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij, int nres ) |
| { |
{ |
| /* Computes the transition matrix starting at age 'age' and combination of covariate values corresponding to ij over |
/* Already optimized with precov. |
| |
Computes the transition matrix starting at age 'age' and dummies values in each resultline (loop on ij to find the corresponding combination) to over |
| 'nhstepm*hstepm*stepm' months (i.e. until |
'nhstepm*hstepm*stepm' months (i.e. until |
| age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
| nhstepm*hstepm matrices. |
nhstepm*hstepm matrices. |
|
Line 3249 double ***hpxij(double ***po, int nhstep
|
Line 3580 double ***hpxij(double ***po, int nhstep
|
| |
|
| */ |
*/ |
| |
|
| int i, j, d, h, k; |
int i, j, d, h, k, k1; |
| double **out, cov[NCOVMAX+1]; |
double **out, cov[NCOVMAX+1]; |
| double **newm; |
double **newm; |
| double agexact; |
double agexact; |
|
Line 3269 double ***hpxij(double ***po, int nhstep
|
Line 3600 double ***hpxij(double ***po, int nhstep
|
| cov[1]=1.; |
cov[1]=1.; |
| agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /* age just before transition */ |
agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /* age just before transition */ |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1){ |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ |
|
| /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ |
|
| cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
|
| /* printf("hpxij Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ |
|
| } |
|
| for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
|
| /* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
|
| cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; |
|
| /* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ |
|
| } |
|
| for (k=1; k<=cptcovage;k++){ |
|
| if(Dummy[Tvar[Tage[k]]]){ |
|
| cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
|
| } else{ |
|
| cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; |
|
| } |
|
| /* printf("hPxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ |
|
| } |
|
| for (k=1; k<=cptcovprod;k++){ /* */ |
|
| /* printf("hPxij Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ |
|
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; |
|
| } |
} |
| |
/* Model(2) V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */ |
| |
/* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| |
if(Typevar[k1]==1){ /* A product with age */ |
| |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| |
}else{ |
| |
cov[2+nagesqr+k1]=precov[nres][k1]; |
| |
} |
| |
}/* End of loop on model equation */ |
| |
/* Old code */ |
| |
/* if( Dummy[k1]==0 && Typevar[k1]==0 ){ /\* Single dummy *\/ */ |
| |
/* /\* V(Tvarsel)=Tvalsel=Tresult[nres][pos](value); V(Tvresult[nres][pos] (variable): V(variable)=value) *\/ */ |
| |
/* /\* for (k=1; k<=nsd;k++) { /\\* For single dummy covariates only *\\/ *\/ */ |
| |
/* /\* /\\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates *\\/ *\/ */ |
| |
/* /\* codtabm(ij,k) (1 & (ij-1) >> (k-1))+1 *\/ */ |
| |
/* /\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ |
| |
/* /\* k 1 2 3 4 5 6 7 8 9 *\/ */ |
| |
/* /\*Tvar[k]= 5 4 3 6 5 2 7 1 1 *\/ */ |
| |
/* /\* nsd 1 2 3 *\/ /\* Counting single dummies covar fixed or tv *\/ */ |
| |
/* /\*TvarsD[nsd] 4 3 1 *\/ /\* ID of single dummy cova fixed or timevary*\/ */ |
| |
/* /\*TvarsDind[k] 2 3 9 *\/ /\* position K of single dummy cova *\/ */ |
| |
/* /\* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];or [codtabm(ij,TnsdVar[TvarsD[k]] *\/ */ |
| |
/* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; */ |
| |
/* /\* printf("hpxij Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,TnsdVar[TvarsD[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,TnsdVar[TvarsD[k]])],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,TnsdVar[TvarsD[k]])); *\/ */ |
| |
/* printf("hpxij Dummy combi=%d k1=%d Tvar[%d]=V%d cov[2+%d+%d]=%lf resultmodel[nres][%d]=%d nres/nresult=%d/%d \n",ij,k1,k1, Tvar[k1],nagesqr,k1,cov[2+nagesqr+k1],k1,resultmodel[nres][k1],nres,nresult); */ |
| |
/* printf("hpxij new Dummy precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */ |
| |
/* }else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /\* Single quantitative variables *\/ */ |
| |
/* /\* resultmodel[nres][k1]=k3: k1th position in the model correspond to the k3 position in the resultline *\/ */ |
| |
/* cov[2+nagesqr+k1]=Tqresult[nres][resultmodel[nres][k1]]; */ |
| |
/* /\* for (k=1; k<=nsq;k++) { /\\* For single varying covariates only *\\/ *\/ */ |
| |
/* /\* /\\* Here comes the value of quantitative after renumbering k with single quantitative covariates *\\/ *\/ */ |
| |
/* /\* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; *\/ */ |
| |
/* printf("hPxij Quantitative k1=%d resultmodel[nres][%d]=%d,Tqresult[%d][%d]=%f\n",k1,k1,resultmodel[nres][k1],nres,resultmodel[nres][k1],Tqresult[nres][resultmodel[nres][k1]]); */ |
| |
/* printf("hpxij new Quanti precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */ |
| |
/* }else if( Dummy[k1]==2 ){ /\* For dummy with age product *\/ */ |
| |
/* /\* Tvar[k1] Variable in the age product age*V1 is 1 *\/ */ |
| |
/* /\* [Tinvresult[nres][V1] is its value in the resultline nres *\/ */ |
| |
/* cov[2+nagesqr+k1]=TinvDoQresult[nres][Tvar[k1]]*cov[2]; */ |
| |
/* printf("DhPxij Dummy with age k1=%d Tvar[%d]=%d TinvDoQresult[nres=%d][%d]=%.f age=%.2f,cov[2+%d+%d]=%.3f\n",k1,k1,Tvar[k1],nres,TinvDoQresult[nres][Tvar[k1]],cov[2],nagesqr,k1,cov[2+nagesqr+k1]); */ |
| |
/* printf("hpxij new Dummy with age product precov[nres=%d][k1=%d]=%.4f * age=%.2f\n", nres, k1, precov[nres][k1], cov[2]); */ |
| |
|
| |
/* /\* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; *\/ */ |
| |
/* /\* for (k=1; k<=cptcovage;k++){ /\\* For product with age V1+V1*age +V4 +age*V3 *\\/ *\/ */ |
| |
/* /\* 1+2 Tage[1]=2 TVar[2]=1 Dummy[2]=2, Tage[2]=4 TVar[4]=3 Dummy[4]=3 quant*\/ */ |
| |
/* /\* *\/ */ |
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/* /\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ |
| |
/* /\* k 1 2 3 4 5 6 7 8 9 *\/ */ |
| |
/* /\*Tvar[k]= 5 4 3 6 5 2 7 1 1 *\/ */ |
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/* /\*cptcovage=2 1 2 *\/ */ |
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/* /\*Tage[k]= 5 8 *\/ */ |
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/* }else if( Dummy[k1]==3 ){ /\* For quant with age product *\/ */ |
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/* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; */ |
| |
/* printf("QhPxij Quant with age k1=%d resultmodel[nres][%d]=%d,Tqresult[%d][%d]=%f\n",k1,k1,resultmodel[nres][k1],nres,resultmodel[nres][k1],Tqresult[nres][resultmodel[nres][k1]]); */ |
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/* printf("hpxij new Quanti with age product precov[nres=%d][k1=%d] * age=%.2f\n", nres, k1, precov[nres][k1], cov[2]); */ |
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/* /\* if(Dummy[Tage[k]]== 2){ /\\* dummy with age *\\/ *\/ */ |
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/* /\* /\\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\\* dummy with age *\\\/ *\\/ *\/ */ |
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/* /\* /\\* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; *\\/ *\/ */ |
| |
/* /\* /\\* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[TvarsD[Tvar[Tage[k]]]])]*cov[2]; *\\/ *\/ */ |
| |
/* /\* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[TvarsD[Tvar[Tage[k]]]])]*cov[2]; *\/ */ |
| |
/* /\* printf("hPxij Age combi=%d k=%d cptcovage=%d Tage[%d]=%d Tvar[Tage[%d]]=V%d nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[Tvar[Tage[k]]]])]=%d nres=%d\n",ij,k,cptcovage,k,Tage[k],k,Tvar[Tage[k]], nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[Tvar[Tage[k]]])],nres); *\/ */ |
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/* /\* } else if(Dummy[Tage[k]]== 3){ /\\* quantitative with age *\\/ *\/ */ |
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/* /\* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; *\/ */ |
| |
/* /\* } *\/ */ |
| |
/* /\* printf("hPxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); *\/ */ |
| |
/* }else if(Typevar[k1]==2 ){ /\* For product (not with age) *\/ */ |
| |
/* /\* for (k=1; k<=cptcovprod;k++){ /\\* For product without age *\\/ *\/ */ |
| |
/* /\* /\\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\\/ *\/ */ |
| |
/* /\* /\\* k 1 2 3 4 5 6 7 8 9 *\\/ *\/ */ |
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/* /\* /\\*Tvar[k]= 5 4 3 6 5 2 7 1 1 *\\/ *\/ */ |
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/* /\* /\\*cptcovprod=1 1 2 *\\/ *\/ */ |
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/* /\* /\\*Tprod[]= 4 7 *\\/ *\/ */ |
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/* /\* /\\*Tvard[][1] 4 1 *\\/ *\/ */ |
| |
/* /\* /\\*Tvard[][2] 3 2 *\\/ *\/ */ |
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|
| |
/* /\* printf("hPxij Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]=%d nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][1])]=%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2],nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])],nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]); *\/ */ |
| |
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
| |
/* cov[2+nagesqr+k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]]; */ |
| |
/* printf("hPxij Prod ij=%d k1=%d cov[2+%d+%d]=%.5f Tvard[%d][1]=V%d * Tvard[%d][2]=V%d ; TinvDoQresult[nres][Tvardk[k1][1]]=%.4f * TinvDoQresult[nres][Tvardk[k1][1]]=%.4f\n",ij,k1,nagesqr,k1,cov[2+nagesqr+k1],k1,Tvardk[k1][1], k1,Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][1]], TinvDoQresult[nres][Tvardk[k1][2]]); */ |
| |
/* printf("hpxij new Product no age product precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */ |
| |
|
| |
/* /\* if(Dummy[Tvardk[k1][1]]==0){ *\/ */ |
| |
/* /\* if(Dummy[Tvardk[k1][2]]==0){ /\\* Product of dummies *\\/ *\/ */ |
| |
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
| |
/* /\* cov[2+nagesqr+k1]=Tinvresult[nres][Tvardk[k1][1]] * Tinvresult[nres][Tvardk[k1][2]]; *\/ */ |
| |
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,TnsdVar[Tvard[k][1]])] * nbcode[Tvard[k][2]][codtabm(ij,TnsdVar[Tvard[k][2]])]; *\/ */ |
| |
/* /\* }else{ /\\* Product of dummy by quantitative *\\/ *\/ */ |
| |
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,TnsdVar[Tvard[k][1]])] * Tqresult[nres][k]; *\/ */ |
| |
/* /\* cov[2+nagesqr+k1]=Tresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tqresult[nres][Tinvresult[nres][Tvardk[k1][2]]]; *\/ */ |
| |
/* /\* } *\/ */ |
| |
/* /\* }else{ /\\* Product of quantitative by...*\\/ *\/ */ |
| |
/* /\* if(Dummy[Tvard[k][2]]==0){ /\\* quant by dummy *\\/ *\/ */ |
| |
/* /\* /\\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,TnsdVar[Tvard[k][2]])] * Tqinvresult[nres][Tvard[k][1]]; *\\/ *\/ */ |
| |
/* /\* cov[2+nagesqr+k1]=Tqresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tresult[nres][Tinvresult[nres][Tvardk[k1][2]]] ; *\/ */ |
| |
/* /\* }else{ /\\* Product of two quant *\\/ *\/ */ |
| |
/* /\* /\\* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; *\\/ *\/ */ |
| |
/* /\* cov[2+nagesqr+k1]=Tqresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tqresult[nres][Tinvresult[nres][Tvardk[k1][2]]] ; *\/ */ |
| |
/* /\* } *\/ */ |
| |
/* /\* }/\\*end of products quantitative *\\/ *\/ */ |
| |
/* }/\*end of products *\/ */ |
| |
/* } /\* End of loop on model equation *\/ */ |
| /* for (k=1; k<=cptcovn;k++) */ |
/* for (k=1; k<=cptcovn;k++) */ |
| /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ |
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ |
| /* for (k=1; k<=cptcovage;k++) /\* Should start at cptcovn+1 *\/ */ |
/* for (k=1; k<=cptcovage;k++) /\* Should start at cptcovn+1 *\/ */ |
|
Line 3303 double ***hpxij(double ***po, int nhstep
|
Line 3713 double ***hpxij(double ***po, int nhstep
|
| |
|
| /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ |
/*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ |
| /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/ |
/*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/ |
| /* right multiplication of oldm by the current matrix */ |
/* right multiplication of oldm by the current matrix */ |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, |
| pmij(pmmij,cov,ncovmodel,x,nlstate)); |
pmij(pmmij,cov,ncovmodel,x,nlstate)); |
| /* if((int)age == 70){ */ |
/* if((int)age == 70){ */ |
|
Line 3338 double ***hpxij(double ***po, int nhstep
|
Line 3748 double ***hpxij(double ***po, int nhstep
|
| /* double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, int ij ) */ |
/* double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, int ij ) */ |
| double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, int ij, int nres ) |
double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, int ij, int nres ) |
| { |
{ |
| /* For a combination of dummy covariate ij, computes the transition matrix starting at age 'age' over |
/* For dummy covariates given in each resultline (for historical, computes the corresponding combination ij), |
| |
computes the transition matrix starting at age 'age' over |
| 'nhstepm*hstepm*stepm' months (i.e. until |
'nhstepm*hstepm*stepm' months (i.e. until |
| age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
age (in years) age+nhstepm*hstepm*stepm/12) by multiplying |
| nhstepm*hstepm matrices. |
nhstepm*hstepm matrices. |
|
Line 3350 double ***hbxij(double ***po, int nhstep
|
Line 3761 double ***hbxij(double ***po, int nhstep
|
| The addresss of po (p3mat allocated to the dimension of nhstepm) should be stored for output |
The addresss of po (p3mat allocated to the dimension of nhstepm) should be stored for output |
| */ |
*/ |
| |
|
| int i, j, d, h, k; |
int i, j, d, h, k, k1; |
| double **out, cov[NCOVMAX+1], **bmij(); |
double **out, cov[NCOVMAX+1], **bmij(); |
| double **newm, ***newmm; |
double **newm, ***newmm; |
| double agexact; |
double agexact; |
|
Line 3373 double ***hbxij(double ***po, int nhstep
|
Line 3784 double ***hbxij(double ***po, int nhstep
|
| cov[1]=1.; |
cov[1]=1.; |
| agexact=age-( (h-1)*hstepm + (d) )*stepm/YEARM; /* age just before transition, d or d-1? */ |
agexact=age-( (h-1)*hstepm + (d) )*stepm/YEARM; /* age just before transition, d or d-1? */ |
| /* agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /\* age just before transition *\/ */ |
/* agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /\* age just before transition *\/ */ |
| |
/* Debug */ |
| |
/* printf("hBxij age=%lf, agexact=%lf\n", age, agexact); */ |
| cov[2]=agexact; |
cov[2]=agexact; |
| if(nagesqr==1) |
if(nagesqr==1){ |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (k=1; k<=cptcovn;k++){ |
} |
| /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ |
/** New code */ |
| /* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\/ */ |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; |
if(Typevar[k1]==1){ /* A product with age */ |
| /* printf("hbxij Dummy agexact=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agexact,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| } |
}else{ |
| for (k=1; k<=nsq;k++) { /* For single varying covariates only */ |
cov[2+nagesqr+k1]=precov[nres][k1]; |
| /* Here comes the value of quantitative after renumbering k with single quantitative covariates */ |
} |
| cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; |
}/* End of loop on model equation */ |
| /* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ |
/** End of new code */ |
| } |
/** This was old code */ |
| for (k=1; k<=cptcovage;k++){ /* Should start at cptcovn+1 */ |
/* for (k=1; k<=nsd;k++){ /\* For single dummy covariates only *\//\* cptcovn error *\/ */ |
| if(Dummy[Tvar[Tage[k]]]){ |
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; *\/ */ |
| cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
/* /\* /\\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\\/ *\/ */ |
| } else{ |
/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])];/\* Bug valgrind *\/ */ |
| cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; |
/* /\* printf("hbxij Dummy agexact=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agexact,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); *\/ */ |
| } |
/* } */ |
| /* printf("hBxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ |
/* for (k=1; k<=nsq;k++) { /\* For single varying covariates only *\/ */ |
| } |
/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates *\/ */ |
| for (k=1; k<=cptcovprod;k++){ /* Useless because included in cptcovn */ |
/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; */ |
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; |
/* /\* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); *\/ */ |
| } |
/* } */ |
| /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ |
/* for (k=1; k<=cptcovage;k++){ /\* Should start at cptcovn+1 *\//\* For product with age *\/ */ |
| /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/ |
/* /\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\* dummy with age error!!!*\\/ *\/ */ |
| |
/* if(Dummy[Tage[k]]== 2){ /\* dummy with age *\/ */ |
| |
/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ |
| |
/* } else if(Dummy[Tage[k]]== 3){ /\* quantitative with age *\/ */ |
| |
/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */ |
| |
/* } */ |
| |
/* /\* printf("hBxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); *\/ */ |
| |
/* } */ |
| |
/* for (k=1; k<=cptcovprod;k++){ /\* Useless because included in cptcovn *\/ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ |
| |
/* if(Dummy[Tvard[k][1]]==0){ */ |
| |
/* if(Dummy[Tvard[k][2]]==0){ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][1])]; */ |
| |
/* }else{ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */ |
| |
/* } */ |
| |
/* }else{ */ |
| |
/* if(Dummy[Tvard[k][2]]==0){ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */ |
| |
/* }else{ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */ |
| |
/* } */ |
| |
/* } */ |
| |
/* } */ |
| |
/* /\*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*\/ */ |
| |
/* /\*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*\/ */ |
| |
/** End of old code */ |
| |
|
| /* Careful transposed matrix */ |
/* Careful transposed matrix */ |
| /* age is in cov[2], prevacurrent at beginning of transition. */ |
/* age is in cov[2], prevacurrent at beginning of transition. */ |
| /* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */ |
/* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */ |
| /* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */ |
/* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */ |
| out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\ |
out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\ |
| 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); |
1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);/* Bug valgrind */ |
| /* if((int)age == 70){ */ |
/* if((int)age == 70){ */ |
| /* printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */ |
/* printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */ |
| /* for(i=1; i<=nlstate+ndeath; i++) { */ |
/* for(i=1; i<=nlstate+ndeath; i++) { */ |
|
Line 3460 double ***hbxij(double ***po, int nhstep
|
Line 3899 double ***hbxij(double ***po, int nhstep
|
| /*************** log-likelihood *************/ |
/*************** log-likelihood *************/ |
| double func( double *x) |
double func( double *x) |
| { |
{ |
| int i, ii, j, k, mi, d, kk; |
int i, ii, j, k, mi, d, kk, kf=0; |
| int ioffset=0; |
int ioffset=0; |
| |
int ipos=0,iposold=0,ncovv=0; |
| |
|
| |
double cotvarv, cotvarvold; |
| double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
| double **out; |
double **out; |
| double lli; /* Individual log likelihood */ |
double lli; /* Individual log likelihood */ |
| int s1, s2; |
int s1, s2; |
| int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quantitative time varying covariate */ |
int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quantitative time varying covariate */ |
| |
|
| double bbh, survp; |
double bbh, survp; |
| long ipmx; |
|
| double agexact; |
double agexact; |
| |
double agebegin, ageend; |
| /*extern weight */ |
/*extern weight */ |
| /* We are differentiating ll according to initial status */ |
/* We are differentiating ll according to initial status */ |
| /* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
|
Line 3492 double func( double *x)
|
Line 3935 double func( double *x)
|
| */ |
*/ |
| ioffset=2+nagesqr ; |
ioffset=2+nagesqr ; |
| /* Fixed */ |
/* Fixed */ |
| for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */ |
for (kf=1; kf<=ncovf;kf++){ /* For each fixed covariate dummu or quant or prod */ |
| cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
/* # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi */ |
| |
/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| |
/* TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1*V2, V1 */ |
| |
/* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod) */ |
| |
cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (TvarFind[1]=6)*/ |
| |
/* V1*V2 (7) TvarFind[2]=7, TvarFind[3]=9 */ |
| } |
} |
| /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
/* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
| is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] |
is 5, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2]=6 |
| has been calculated etc */ |
has been calculated etc */ |
| /* For an individual i, wav[i] gives the number of effective waves */ |
/* For an individual i, wav[i] gives the number of effective waves */ |
| /* We compute the contribution to Likelihood of each effective transition |
/* We compute the contribution to Likelihood of each effective transition |
| mw[mi][i] is real wave of the mi th effectve wave */ |
mw[mi][i] is real wave of the mi th effectve wave */ |
| /* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i] |
And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i] because now is moved after nvocol+nqv |
| But if the variable is not in the model TTvar[iv] is the real variable effective in the model: |
But if the variable is not in the model TTvar[iv] is the real variable effective in the model: |
| meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i] |
meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i] |
| */ |
*/ |
| for(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
| for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/ |
/* Wave varying (but not age varying) */ |
| /* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */ |
/* for(k=1; k <= ncovv ; k++){ /\* Varying covariates in the model (single and product but no age )"V5+V4+V3+V4*V3+V5*age+V1*age+V1" +TvarVind 1,2,3,4(V4*V3) Tvar[1]@7{5, 4, 3, 6, 5, 1, 1 ; 6 because the created covar is after V5 and is 6, minus 1+1, 3,2,1,4 positions in cotvar*\/ */ |
| cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; |
/* /\* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; but where is the crossproduct? *\/ */ |
| } |
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; */ |
| |
/* } */ |
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age )*/ |
| |
itv=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
if(TvarFind[itv]==0){ /* Not a fixed covariate */ |
| |
cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]][i]; /* cotvar[wav][ncovcol+nqv+iv][i] */ |
| |
}else{ /* fixed covariate */ |
| |
cotvarv=covar[Tvar[TvarFind[itv]]][i]; |
| |
} |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
cotvarvold=cotvarv; |
| |
}else{ /* A second product */ |
| |
cotvarv=cotvarv*cotvarvold; |
| |
} |
| |
iposold=ipos; |
| |
cov[ioffset+ipos]=cotvarv; |
| |
} |
| |
/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)*\/ */ |
| |
/* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
| |
/* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ |
| |
/* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */ |
| |
/* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */ |
| |
/* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ |
| |
/* } */ |
| |
/* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */ |
| |
/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
| |
/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ |
| |
/* cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; */ |
| |
/* } */ |
| |
/* for products of time varying to be done */ |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
| savm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
| } |
} |
| |
|
| |
agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ |
| |
ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ |
| for(d=0; d<dh[mi][i]; d++){ |
for(d=0; d<dh[mi][i]; d++){ |
| newm=savm; |
newm=savm; |
| agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
|
Line 3524 double func( double *x)
|
Line 4005 double func( double *x)
|
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; /* Should be changed here */ |
cov[3]= agexact*agexact; /* Should be changed here */ |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| if(!FixedV[Tvar[Tage[kk]]]) |
if(!FixedV[Tvar[Tage[kk]]]) |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
| else |
else |
| cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| } |
} |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
|
Line 3607 double func( double *x)
|
Line 4088 double func( double *x)
|
| /*survp += out[s1][j]; */ |
/*survp += out[s1][j]; */ |
| lli= log(survp); |
lli= log(survp); |
| } |
} |
| else if (s2==-4) { |
/* else if (s2==-4) { */ |
| for (j=3,survp=0. ; j<=nlstate; j++) |
/* for (j=3,survp=0. ; j<=nlstate; j++) */ |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
/* survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; */ |
| lli= log(survp); |
/* lli= log(survp); */ |
| } |
/* } */ |
| else if (s2==-5) { |
/* else if (s2==-5) { */ |
| for (j=1,survp=0. ; j<=2; j++) |
/* for (j=1,survp=0. ; j<=2; j++) */ |
| survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; |
/* survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; */ |
| lli= log(survp); |
/* lli= log(survp); */ |
| } |
/* } */ |
| else{ |
else{ |
| lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ |
| /* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */ |
/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */ |
| } |
} |
| /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
/*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ |
| /*if(lli ==000.0)*/ |
/*if(lli ==000.0)*/ |
| /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
/* printf("num[i], i=%d, bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ |
| ipmx +=1; |
ipmx +=1; |
| sw += weight[i]; |
sw += weight[i]; |
| ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
|
Line 3635 double func( double *x)
|
Line 4116 double func( double *x)
|
| } /* end of individual */ |
} /* end of individual */ |
| } else if(mle==2){ |
} else if(mle==2){ |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; |
ioffset=2+nagesqr ; |
| |
for (k=1; k<=ncovf;k++) |
| |
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i]; |
| for(mi=1; mi<= wav[i]-1; mi++){ |
for(mi=1; mi<= wav[i]-1; mi++){ |
| |
for(k=1; k <= ncovv ; k++){ |
| |
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| |
} |
| for (ii=1;ii<=nlstate+ndeath;ii++) |
for (ii=1;ii<=nlstate+ndeath;ii++) |
| for (j=1;j<=nlstate+ndeath;j++){ |
for (j=1;j<=nlstate+ndeath;j++){ |
| oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
|
Line 3682 double func( double *x)
|
Line 4168 double func( double *x)
|
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
if(!FixedV[Tvar[Tage[kk]]]) |
| |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
| |
else |
| |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| } |
} |
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
| 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); |
|
Line 3738 double func( double *x)
|
Line 4227 double func( double *x)
|
| ipmx +=1; |
ipmx +=1; |
| sw += weight[i]; |
sw += weight[i]; |
| ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| /* printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
/* printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
| } /* end of wave */ |
} /* end of wave */ |
| } /* end of individual */ |
} /* end of individual */ |
| }else{ /* ml=5 no inter-extrapolation no jackson =0.8a */ |
}else{ /* ml=5 no inter-extrapolation no jackson =0.8a */ |
|
Line 3757 double func( double *x)
|
Line 4246 double func( double *x)
|
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
| for (kk=1; kk<=cptcovage;kk++) { |
for (kk=1; kk<=cptcovage;kk++) { |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
if(!FixedV[Tvar[Tage[kk]]]) |
| |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ |
| |
else |
| |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| } |
} |
| |
|
| out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, |
|
Line 3786 double func( double *x)
|
Line 4278 double func( double *x)
|
| double funcone( double *x) |
double funcone( double *x) |
| { |
{ |
| /* Same as func but slower because of a lot of printf and if */ |
/* Same as func but slower because of a lot of printf and if */ |
| int i, ii, j, k, mi, d, kk; |
int i, ii, j, k, mi, d, kk, kf=0; |
| int ioffset=0; |
int ioffset=0; |
| |
int ipos=0,iposold=0,ncovv=0; |
| |
|
| |
double cotvarv, cotvarvold; |
| double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; |
| double **out; |
double **out; |
| double lli; /* Individual log likelihood */ |
double lli; /* Individual log likelihood */ |
|
Line 3809 double funcone( double *x)
|
Line 4304 double funcone( double *x)
|
| for(k=1; k<=nlstate; k++) ll[k]=0.; |
for(k=1; k<=nlstate; k++) ll[k]=0.; |
| ioffset=0; |
ioffset=0; |
| for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
for (i=1,ipmx=0, sw=0.; i<=imx; i++){ |
| |
/* Computes the values of the ncovmodel covariates of the model |
| |
depending if the covariates are fixed or varying (age dependent) and stores them in cov[] |
| |
Then computes with function pmij which return a matrix p[i][j] giving the elementary probability |
| |
to be observed in j being in i according to the model. |
| |
*/ |
| /* ioffset=2+nagesqr+cptcovage; */ |
/* ioffset=2+nagesqr+cptcovage; */ |
| ioffset=2+nagesqr; |
ioffset=2+nagesqr; |
| /* Fixed */ |
/* Fixed */ |
| /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ |
/* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ |
| /* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ |
/* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ |
| for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */ |
for (kf=1; kf<=ncovf;kf++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */ |
| cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
/* printf("Debug3 TvarFind[%d]=%d",kf, TvarFind[kf]); */ |
| |
/* printf(" Tvar[TvarFind[kf]]=%d", Tvar[TvarFind[kf]]); */ |
| |
/* printf(" i=%d covar[Tvar[TvarFind[kf]]][i]=%f\n",i,covar[Tvar[TvarFind[kf]]][i]); */ |
| |
cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ |
| /* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ |
/* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ |
| /* cov[2+6]=covar[Tvar[6]][i]; */ |
/* cov[2+6]=covar[Tvar[6]][i]; */ |
| /* cov[2+6]=covar[2][i]; V2 */ |
/* cov[2+6]=covar[2][i]; V2 */ |
|
Line 3826 double funcone( double *x)
|
Line 4329 double funcone( double *x)
|
| /* cov[2+9]=covar[Tvar[9]][i]; */ |
/* cov[2+9]=covar[Tvar[9]][i]; */ |
| /* cov[2+9]=covar[1][i]; V1 */ |
/* cov[2+9]=covar[1][i]; V1 */ |
| } |
} |
| |
/* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] |
| |
is 5, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2]=6 |
| |
has been calculated etc */ |
| |
/* For an individual i, wav[i] gives the number of effective waves */ |
| |
/* We compute the contribution to Likelihood of each effective transition |
| |
mw[mi][i] is real wave of the mi th effectve wave */ |
| |
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; |
| |
s2=s[mw[mi+1][i]][i]; |
| |
And the iv th varying covariate in the DATA is the cotvar[mw[mi+1][i]][ncovcol+nqv+iv][i] |
| |
*/ |
| |
/* This part may be useless now because everythin should be in covar */ |
| /* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products *\/ */ |
/* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products *\/ */ |
| /* cov[++ioffset]=coqvar[TvarFQ[k]][i];/\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V2 and V1*V2 is fixed (k=6 and 7?)*\/ */ |
/* cov[++ioffset]=coqvar[TvarFQ[k]][i];/\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V2 and V1*V2 is fixed (k=6 and 7?)*\/ */ |
| /* } */ |
/* } */ |
|
Line 3835 double funcone( double *x)
|
Line 4349 double funcone( double *x)
|
| |
|
| |
|
| for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ |
| /* Wave varying (but not age varying) */ |
/* Wave varying (but not age varying) *//* V1+V3+age*V1+age*V3+V1*V3 with V4 tv and V5 tvq k= 1 to 5 and extra at V(5+1)=6 for V1*V3 */ |
| for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/ |
/* for(k=1; k <= ncovv ; k++){ /\* Varying covariates (single and product but no age )*\/ */ |
| /* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */ |
/* /\* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; *\/ */ |
| cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; |
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; */ |
| } |
/* } */ |
| /* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)*\/ */ |
|
| /* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| /* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
| /* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */ |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| /* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */ |
/* TvarVV[1]=V3 (first time varying in the model equation, TvarVV[2]=V1 (in V1*V3) TvarVV[3]=3(V3) */ |
| /* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ |
/* We need the position of the time varying or product in the model */ |
| |
/* TvarVVind={2,5,5}, for V3 at position 2 and then the product V1*V3 is decomposed into V1 and V3 but at same position 5 */ |
| |
/* TvarVV gives the variable name */ |
| |
/* Other example V1 + V3 + V5 + age*V1 + age*V3 + age*V5 + V1*V3 + V3*V5 + V1*V5 |
| |
* k= 1 2 3 4 5 6 7 8 9 |
| |
* varying 1 2 3 4 5 |
| |
* ncovv 1 2 3 4 5 6 7 8 |
| |
* TvarVV V3 5 1 3 3 5 1 5 |
| |
* TvarVVind 2 3 7 7 8 8 9 9 |
| |
* TvarFind[k] 1 0 0 0 0 0 0 0 0 |
| |
* cotvar starts at ntv=2 (because of V3 V4) |
| |
*/ |
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age) including individual from products */ |
| |
itv=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
if(TvarFind[itv]==0){ /* Not a fixed covariate */ |
| |
cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]][i]; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| |
}else{ /* fixed covariate */ |
| |
cotvarv=covar[Tvar[TvarFind[itv]]][i]; |
| |
} |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
cotvarvold=cotvarv; |
| |
}else{ /* A second product */ |
| |
cotvarv=cotvarv*cotvarvold; |
| |
} |
| |
iposold=ipos; |
| |
cov[ioffset+ipos]=cotvarv; |
| |
/* For products */ |
| |
} |
| |
/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates single *\/ */ |
| |
/* iv=TvarVDind[itv]; /\* iv, position in the model equation of time varying covariate itv *\/ */ |
| |
/* /\* "V1+V3+age*V1+age*V3+V1*V3" with V3 time varying *\/ */ |
| |
/* /\* 1 2 3 4 5 *\/ */ |
| |
/* /\*itv 1 *\/ */ |
| |
/* /\* TvarVInd[1]= 2 *\/ */ |
| |
/* /\* iv= Tvar[Tmodelind[itv]]-ncovcol-nqv; /\\* Counting the # varying covariate from 1 to ntveff *\\/ *\/ */ |
| |
/* /\* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; *\/ */ |
| |
/* /\* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; *\/ */ |
| |
/* /\* k=ioffset-2-nagesqr-cptcovage+itv; /\\* position in simple model *\\/ *\/ */ |
| |
/* /\* cov[ioffset+iv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; *\/ */ |
| |
/* cov[ioffset+iv]=cotvar[mw[mi][i]][itv][i]; */ |
| |
/* /\* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][itv][i]=%f\n", i, mi, itv, TvarVDind[itv],cotvar[mw[mi][i]][itv][i]); *\/ */ |
| |
/* } */ |
| /* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */ |
/* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */ |
| /* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ |
| /* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ |
/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ |
|
Line 3872 double funcone( double *x)
|
Line 4428 double funcone( double *x)
|
| if(!FixedV[Tvar[Tage[kk]]]) |
if(!FixedV[Tvar[Tage[kk]]]) |
| cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; |
| else |
else |
| cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; |
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]*agexact; /* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| } |
} |
| /* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */ |
/* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */ |
| /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ |
|
Line 3883 double funcone( double *x)
|
Line 4439 double funcone( double *x)
|
| savm=oldm; |
savm=oldm; |
| oldm=newm; |
oldm=newm; |
| } /* end mult */ |
} /* end mult */ |
| |
/*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ |
| |
/* But now since version 0.9 we anticipate for bias at large stepm. |
| |
* If stepm is larger than one month (smallest stepm) and if the exact delay |
| |
* (in months) between two waves is not a multiple of stepm, we rounded to |
| |
* the nearest (and in case of equal distance, to the lowest) interval but now |
| |
* we keep into memory the bias bh[mi][i] and also the previous matrix product |
| |
* (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the |
| |
* probability in order to take into account the bias as a fraction of the way |
| |
* from savm to out if bh is negative or even beyond if bh is positive. bh varies |
| |
* -stepm/2 to stepm/2 . |
| |
* For stepm=1 the results are the same as for previous versions of Imach. |
| |
* For stepm > 1 the results are less biased than in previous versions. |
| |
*/ |
| s1=s[mw[mi][i]][i]; |
s1=s[mw[mi][i]][i]; |
| s2=s[mw[mi+1][i]][i]; |
s2=s[mw[mi+1][i]][i]; |
| /* if(s2==-1){ */ |
/* if(s2==-1){ */ |
|
Line 3915 double funcone( double *x)
|
Line 4483 double funcone( double *x)
|
| ipmx +=1; |
ipmx +=1; |
| sw += weight[i]; |
sw += weight[i]; |
| ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
| /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
/* Printing covariates values for each contribution for checking */ |
| |
/* printf(" s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); */ |
| if(globpr){ |
if(globpr){ |
| fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ |
| %11.6f %11.6f %11.6f ", \ |
%11.6f %11.6f %11.6f ", \ |
| num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
| 2*weight[i]*lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); |
2*weight[i]*lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); |
| |
/* printf("%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ */ |
| |
/* %11.6f %11.6f %11.6f ", \ */ |
| |
/* num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, */ |
| |
/* 2*weight[i]*lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); */ |
| for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
| llt +=ll[k]*gipmx/gsw; |
llt +=ll[k]*gipmx/gsw; |
| fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); |
fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); |
| |
/* printf(" %10.6f",-ll[k]*gipmx/gsw); */ |
| } |
} |
| fprintf(ficresilk," %10.6f\n", -llt); |
fprintf(ficresilk," %10.6f", -llt); |
| } |
/* printf(" %10.6f\n", -llt); */ |
| } /* end of wave */ |
/* if(debugILK){ /\* debugILK is set by a #d in a comment line *\/ */ |
| } /* end of individual */ |
fprintf(ficresilk,"%09ld ", num[i]); |
| for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; |
for (kf=1; kf<=ncovf;kf++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */ |
| |
fprintf(ficresilk," %g",covar[Tvar[TvarFind[kf]]][i]); |
| |
} |
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age) including individual from products */ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
fprintf(ficresilk," %g",cov[ioffset+ipos]); |
| |
/* printf(" %g",cov[ioffset+ipos]); */ |
| |
}else{ |
| |
fprintf(ficresilk,"*"); |
| |
/* printf("*"); */ |
| |
} |
| |
iposold=ipos; |
| |
} |
| |
for (kk=1; kk<=cptcovage;kk++) { |
| |
if(!FixedV[Tvar[Tage[kk]]]){ |
| |
fprintf(ficresilk," %g*age",covar[Tvar[Tage[kk]]][i]); |
| |
/* printf(" %g*age",covar[Tvar[Tage[kk]]][i]); */ |
| |
}else{ |
| |
fprintf(ficresilk," %g*age",cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]);/* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| |
/* printf(" %g*age",cotvar[mw[mi][i]][Tvar[Tage[kk]]][i]);/\* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) *\/ */ |
| |
} |
| |
} |
| |
/* printf("\n"); */ |
| |
/* } /\* End debugILK *\/ */ |
| |
fprintf(ficresilk,"\n"); |
| |
} /* End if globpr */ |
| |
} /* end of wave */ |
| |
} /* end of individual */ |
| |
for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; |
| /* printf("l1=%f l2=%f ",ll[1],ll[2]); */ |
/* printf("l1=%f l2=%f ",ll[1],ll[2]); */ |
| l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ |
l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ |
| if(globpr==0){ /* First time we count the contributions and weights */ |
if(globpr==0){ /* First time we count the contributions and weights */ |
| gipmx=ipmx; |
gipmx=ipmx; |
| gsw=sw; |
gsw=sw; |
| } |
} |
| return -l; |
return -l; |
| } |
} |
| |
|
|
Line 3947 void likelione(FILE *ficres,double p[],
|
Line 4550 void likelione(FILE *ficres,double p[],
|
| the selection of individuals/waves and |
the selection of individuals/waves and |
| to check the exact contribution to the likelihood. |
to check the exact contribution to the likelihood. |
| Plotting could be done. |
Plotting could be done. |
| */ |
*/ |
| int k; |
void pstamp(FILE *ficres); |
| |
int k, kf, kk, ncovv, iposold, ipos; |
| |
|
| if(*globpri !=0){ /* Just counts and sums, no printings */ |
if(*globpri !=0){ /* Just counts and sums, no printings */ |
| strcpy(fileresilk,"ILK_"); |
strcpy(fileresilk,"ILK_"); |
|
Line 3957 void likelione(FILE *ficres,double p[],
|
Line 4561 void likelione(FILE *ficres,double p[],
|
| printf("Problem with resultfile: %s\n", fileresilk); |
printf("Problem with resultfile: %s\n", fileresilk); |
| fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); |
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); |
| } |
} |
| |
pstamp(ficresilk);fprintf(ficresilk,"# model=1+age+%s\n",model); |
| fprintf(ficresilk, "#individual(line's_record) count ageb ageend s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); |
fprintf(ficresilk, "#individual(line's_record) count ageb ageend s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); |
| fprintf(ficresilk, "#num_i ageb agend i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav "); |
fprintf(ficresilk, "#num_i ageb agend i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav "); |
| /* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ |
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ |
| for(k=1; k<=nlstate; k++) |
for(k=1; k<=nlstate; k++) |
| fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); |
fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); |
| fprintf(ficresilk," -2*gipw/gsw*weight*ll(total)\n"); |
fprintf(ficresilk," -2*gipw/gsw*weight*ll(total) "); |
| } |
|
| |
/* if(debugILK){ /\* debugILK is set by a #d in a comment line *\/ */ |
| |
for(kf=1;kf <= ncovf; kf++){ |
| |
fprintf(ficresilk,"V%d",Tvar[TvarFind[kf]]); |
| |
/* printf("V%d",Tvar[TvarFind[kf]]); */ |
| |
} |
| |
for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ |
| |
ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ |
| |
if(ipos!=iposold){ /* Not a product or first of a product */ |
| |
/* printf(" %d",ipos); */ |
| |
fprintf(ficresilk," V%d",TvarVV[ncovv]); |
| |
}else{ |
| |
/* printf("*"); */ |
| |
fprintf(ficresilk,"*"); |
| |
} |
| |
iposold=ipos; |
| |
} |
| |
for (kk=1; kk<=cptcovage;kk++) { |
| |
if(!FixedV[Tvar[Tage[kk]]]){ |
| |
/* printf(" %d*age(Fixed)",Tvar[Tage[kk]]); */ |
| |
fprintf(ficresilk," %d*age(Fixed)",Tvar[Tage[kk]]); |
| |
}else{ |
| |
fprintf(ficresilk," %d*age(Varying)",Tvar[Tage[kk]]);/* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| |
/* printf(" %d*age(Varying)",Tvar[Tage[kk]]);/\* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) *\/ */ |
| |
} |
| |
} |
| |
/* } /\* End if debugILK *\/ */ |
| |
/* printf("\n"); */ |
| |
fprintf(ficresilk,"\n"); |
| |
} /* End glogpri */ |
| |
|
| *fretone=(*func)(p); |
*fretone=(*func)(p); |
| if(*globpri !=0){ |
if(*globpri !=0){ |
|
Line 3993 void likelione(FILE *ficres,double p[],
|
Line 4627 void likelione(FILE *ficres,double p[],
|
| |
|
| void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double [])) |
void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double [])) |
| { |
{ |
| int i,j, iter=0; |
int i,j,k, jk, jkk=0, iter=0; |
| double **xi; |
double **xi; |
| double fret; |
double fret; |
| double fretone; /* Only one call to likelihood */ |
double fretone; /* Only one call to likelihood */ |
|
Line 4027 void mlikeli(FILE *ficres,double p[], in
|
Line 4661 void mlikeli(FILE *ficres,double p[], in
|
| if(j!=i)fprintf(ficrespow," p%1d%1d",i,j); |
if(j!=i)fprintf(ficrespow," p%1d%1d",i,j); |
| fprintf(ficrespow,"\n"); |
fprintf(ficrespow,"\n"); |
| #ifdef POWELL |
#ifdef POWELL |
| |
#ifdef LINMINORIGINAL |
| |
#else /* LINMINORIGINAL */ |
| |
|
| |
flatdir=ivector(1,npar); |
| |
for (j=1;j<=npar;j++) flatdir[j]=0; |
| |
#endif /*LINMINORIGINAL */ |
| |
|
| |
#ifdef FLATSUP |
| |
powell(p,xi,npar,ftol,&iter,&fret,flatdir,func); |
| |
/* reorganizing p by suppressing flat directions */ |
| |
for(i=1, jk=1; i <=nlstate; i++){ |
| |
for(k=1; k <=(nlstate+ndeath); k++){ |
| |
if (k != i) { |
| |
printf("%d%d flatdir[%d]=%d",i,k,jk, flatdir[jk]); |
| |
if(flatdir[jk]==1){ |
| |
printf(" To be skipped %d%d flatdir[%d]=%d ",i,k,jk, flatdir[jk]); |
| |
} |
| |
for(j=1; j <=ncovmodel; j++){ |
| |
printf("%12.7f ",p[jk]); |
| |
jk++; |
| |
} |
| |
printf("\n"); |
| |
} |
| |
} |
| |
} |
| |
/* skipping */ |
| |
/* for(i=1, jk=1, jkk=1;(flatdir[jk]==0)&& (i <=nlstate); i++){ */ |
| |
for(i=1, jk=1, jkk=1;i <=nlstate; i++){ |
| |
for(k=1; k <=(nlstate+ndeath); k++){ |
| |
if (k != i) { |
| |
printf("%d%d flatdir[%d]=%d",i,k,jk, flatdir[jk]); |
| |
if(flatdir[jk]==1){ |
| |
printf(" To be skipped %d%d flatdir[%d]=%d jk=%d p[%d] ",i,k,jk, flatdir[jk],jk, jk); |
| |
for(j=1; j <=ncovmodel; jk++,j++){ |
| |
printf(" p[%d]=%12.7f",jk, p[jk]); |
| |
/*q[jjk]=p[jk];*/ |
| |
} |
| |
}else{ |
| |
printf(" To be kept %d%d flatdir[%d]=%d jk=%d q[%d]=p[%d] ",i,k,jk, flatdir[jk],jk, jkk, jk); |
| |
for(j=1; j <=ncovmodel; jk++,jkk++,j++){ |
| |
printf(" p[%d]=%12.7f=q[%d]",jk, p[jk],jkk); |
| |
/*q[jjk]=p[jk];*/ |
| |
} |
| |
} |
| |
printf("\n"); |
| |
} |
| |
fflush(stdout); |
| |
} |
| |
} |
| |
powell(p,xi,npar,ftol,&iter,&fret,flatdir,func); |
| |
#else /* FLATSUP */ |
| powell(p,xi,npar,ftol,&iter,&fret,func); |
powell(p,xi,npar,ftol,&iter,&fret,func); |
| #endif |
#endif /* FLATSUP */ |
| |
|
| |
#ifdef LINMINORIGINAL |
| |
#else |
| |
free_ivector(flatdir,1,npar); |
| |
#endif /* LINMINORIGINAL*/ |
| |
#endif /* POWELL */ |
| |
|
| #ifdef NLOPT |
#ifdef NLOPT |
| #ifdef NEWUOA |
#ifdef NEWUOA |
|
Line 4056 void mlikeli(FILE *ficres,double p[], in
|
Line 4747 void mlikeli(FILE *ficres,double p[], in
|
| } |
} |
| nlopt_destroy(opt); |
nlopt_destroy(opt); |
| #endif |
#endif |
| |
#ifdef FLATSUP |
| |
/* npared = npar -flatd/ncovmodel; */ |
| |
/* xired= matrix(1,npared,1,npared); */ |
| |
/* paramred= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ |
| |
/* powell(pred,xired,npared,ftol,&iter,&fret,flatdir,func); */ |
| |
/* free_matrix(xire,1,npared,1,npared); */ |
| |
#else /* FLATSUP */ |
| |
#endif /* FLATSUP */ |
| free_matrix(xi,1,npar,1,npar); |
free_matrix(xi,1,npar,1,npar); |
| fclose(ficrespow); |
fclose(ficrespow); |
| printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p)); |
printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p)); |
|
Line 4461 void freqsummary(char fileres[], double
|
Line 5160 void freqsummary(char fileres[], double
|
| int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ |
int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ |
| int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
| { /* Some frequencies as well as proposing some starting values */ |
{ /* Some frequencies as well as proposing some starting values */ |
| |
/* Frequencies of any combination of dummy covariate used in the model equation */ |
| int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1; |
int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1; |
| int iind=0, iage=0; |
int iind=0, iage=0; |
| int mi; /* Effective wave */ |
int mi; /* Effective wave */ |
|
Line 4507 void freqsummary(char fileres[], double
|
Line 5206 void freqsummary(char fileres[], double
|
| Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
| fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
| } |
} |
| fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition and dummy covariate value at beginning of transition</h4>\n",fileresphtm, fileresphtm); |
fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies (weight=%d) and prevalence by age at begin of transition and dummy covariate value at beginning of transition</h4>\n",fileresphtm, fileresphtm, weightopt); |
| |
|
| strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
| if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
|
Line 4517 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5216 Title=%s <br>Datafile=%s Firstpass=%d La
|
| exit(70); |
exit(70); |
| } else{ |
} else{ |
| fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n \ |
,<hr size=\"2\" color=\"#EC5E5E\"> \n \ |
| Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
| fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
| } |
} |
| fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions of the model, by age at begin of transition, and covariate value at the begin of transition (if the covariate is a varying covariate) </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr); |
fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>(weight=%d) frequencies of all effective transitions of the model, by age at begin of transition, and covariate value at the begin of transition (if the covariate is a varying covariate) </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr,weightopt); |
| |
|
| y= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE); |
y= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE); |
| x= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE); |
x= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE); |
|
Line 4529 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5228 Title=%s <br>Datafile=%s Firstpass=%d La
|
| j1=0; |
j1=0; |
| |
|
| /* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
/* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
| j=cptcoveff; /* Only dummy covariates of the model */ |
j=cptcoveff; /* Only simple dummy covariates used in the model */ |
| |
/* j=cptcovn; /\* Only dummy covariates of the model *\/ */ |
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
| |
|
|
Line 4537 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5237 Title=%s <br>Datafile=%s Firstpass=%d La
|
| reference=low_education V1=0,V2=0 |
reference=low_education V1=0,V2=0 |
| med_educ V1=1 V2=0, |
med_educ V1=1 V2=0, |
| high_educ V1=0 V2=1 |
high_educ V1=0 V2=1 |
| Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff |
Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcovn |
| */ |
*/ |
| dateintsum=0; |
dateintsum=0; |
| k2cpt=0; |
k2cpt=0; |
|
Line 4574 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5274 Title=%s <br>Datafile=%s Firstpass=%d La
|
| if(nj==1) |
if(nj==1) |
| j=0; /* First pass for the constant */ |
j=0; /* First pass for the constant */ |
| else{ |
else{ |
| j=cptcoveff; /* Other passes for the covariate values */ |
j=cptcoveff; /* Other passes for the covariate values number of simple covariates in the model V2+V1 =2 (simple dummy fixed or time varying) */ |
| } |
} |
| first=1; |
first=1; |
| for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on all covariates combination of the model, excluding quantitatives, V4=0, V3=0 for example, fixed or varying covariates */ |
for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on all dummy covariates combination of the model, ie excluding quantitatives, V4=0, V3=0 for example, fixed or varying covariates */ |
| posproptt=0.; |
posproptt=0.; |
| /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
/*printf("cptcovn=%d Tvaraff=%d", cptcovn,Tvaraff[1]); |
| scanf("%d", i);*/ |
scanf("%d", i);*/ |
| for (i=-5; i<=nlstate+ndeath; i++) |
for (i=-5; i<=nlstate+ndeath; i++) |
| for (s2=-5; s2<=nlstate+ndeath; s2++) |
for (s2=-5; s2<=nlstate+ndeath; s2++) |
|
Line 4616 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5316 Title=%s <br>Datafile=%s Firstpass=%d La
|
| /* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ |
/* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ |
| /* }else if(Tvaraff[z1] ==-10){ */ |
/* }else if(Tvaraff[z1] ==-10){ */ |
| /* /\* sumnew+=coqvar[z1][iind]; *\/ */ |
/* /\* sumnew+=coqvar[z1][iind]; *\/ */ |
| /* }else */ |
/* }else */ /* TODO TODO codtabm(j1,z1) or codtabm(j1,Tvaraff[z1]]z1)*/ |
| if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ /* for combination j1 of covariates */ |
/* if( iind >=imx-3) printf("Searching error iind=%d Tvaraff[z1]=%d covar[Tvaraff[z1]][iind]=%.f TnsdVar[Tvaraff[z1]]=%d, cptcoveff=%d, cptcovs=%d \n",iind, Tvaraff[z1], covar[Tvaraff[z1]][iind],TnsdVar[Tvaraff[z1]],cptcoveff, cptcovs); */ |
| |
if(Tvaraff[z1]<1 || Tvaraff[z1]>=NCOVMAX) |
| |
printf("Error Tvaraff[z1]=%d<1 or >=%d, cptcoveff=%d model=1+age+%s\n",Tvaraff[z1],NCOVMAX, cptcoveff, model); |
| |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]){ /* for combination j1 of covariates */ |
| /* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */ |
/* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */ |
| bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */ |
bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */ |
| /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", |
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", */ |
| bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), |
/* bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1),*/ |
| j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
/* j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ |
| /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
| } /* Onlyf fixed */ |
} /* Onlyf fixed */ |
| } /* end z1 */ |
} /* end z1 */ |
| } /* cptcovn > 0 */ |
} /* cptcoveff > 0 */ |
| } /* end any */ |
} /* end any */ |
| }/* end j==0 */ |
}/* end j==0 */ |
| if (bool==1){ /* We selected an individual iind satisfying combination j1 (V4=1 V3=0) or all fixed covariates */ |
if (bool==1){ /* We selected an individual iind satisfying combination j1 (V4=1 V3=0) or all fixed covariates */ |
|
Line 4637 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5340 Title=%s <br>Datafile=%s Firstpass=%d La
|
| if(anyvaryingduminmodel==1){ /* Some are varying covariates */ |
if(anyvaryingduminmodel==1){ /* Some are varying covariates */ |
| for (z1=1; z1<=cptcoveff; z1++) { |
for (z1=1; z1<=cptcoveff; z1++) { |
| if( Fixed[Tmodelind[z1]]==1){ |
if( Fixed[Tmodelind[z1]]==1){ |
| iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
/* iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; /\* Good *\/ */ |
| if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality. If covariate's |
iv= Tvar[Tmodelind[z1]]; /* Good *//* because cotvar starts now at first at ncovcol+nqv+ntv */ |
| |
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality. If covariate's |
| value is -1, we don't select. It differs from the |
value is -1, we don't select. It differs from the |
| constant and age model which counts them. */ |
constant and age model which counts them. */ |
| bool=0; /* not selected */ |
bool=0; /* not selected */ |
| }else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */ |
}else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */ |
| if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) { |
/* i1=Tvaraff[z1]; */ |
| |
/* i2=TnsdVar[i1]; */ |
| |
/* i3=nbcode[i1][i2]; */ |
| |
/* i4=covar[i1][iind]; */ |
| |
/* if(i4 != i3){ */ |
| |
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) { /* Bug valgrind */ |
| bool=0; |
bool=0; |
| } |
} |
| } |
} |
|
Line 4669 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5378 Title=%s <br>Datafile=%s Firstpass=%d La
|
| if(s[m][iind]==-1) |
if(s[m][iind]==-1) |
| printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
| freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ |
| for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean */ |
for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean on known values only */ |
| idq[z1]=idq[z1]+weight[iind]; |
if(!isnan(covar[ncovcol+z1][iind])){ |
| meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind]; /* Computes mean of quantitative with selected filter */ |
idq[z1]=idq[z1]+weight[iind]; |
| stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; /* *weight[iind];*/ /* Computes mean of quantitative with selected filter */ |
meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind]; /* Computes mean of quantitative with selected filter */ |
| |
/* stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; *//*error*/ |
| |
stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]; /* *weight[iind];*/ /* Computes mean of quantitative with selected filter */ |
| |
} |
| } |
} |
| /* if((int)agev[m][iind] == 55) */ |
/* if((int)agev[m][iind] == 55) */ |
| /* printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */ |
/* printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */ |
|
Line 4696 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5408 Title=%s <br>Datafile=%s Firstpass=%d La
|
| /* } */ |
/* } */ |
| } /* end bool */ |
} /* end bool */ |
| } /* end iind = 1 to imx */ |
} /* end iind = 1 to imx */ |
| /* prop[s][age] is feeded for any initial and valid live state as well as |
/* prop[s][age] is fed for any initial and valid live state as well as |
| freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */ |
freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */ |
| |
|
| |
|
|
Line 4712 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5424 Title=%s <br>Datafile=%s Firstpass=%d La
|
| fprintf(ficlog, "\n#********** Variable "); |
fprintf(ficlog, "\n#********** Variable "); |
| for (z1=1; z1<=cptcoveff; z1++){ |
for (z1=1; z1<=cptcoveff; z1++){ |
| if(!FixedV[Tvaraff[z1]]){ |
if(!FixedV[Tvaraff[z1]]){ |
| printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficresphtm, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficresphtmfr, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtmfr, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficlog, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficlog, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| }else{ |
}else{ |
| printf( "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
printf( "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| } |
} |
| } |
} |
| printf( "**********\n#"); |
printf( "**********\n#"); |
|
Line 4735 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5447 Title=%s <br>Datafile=%s Firstpass=%d La
|
| Printing means of quantitative variables if any |
Printing means of quantitative variables if any |
| */ |
*/ |
| for (z1=1; z1<= nqfveff; z1++) { |
for (z1=1; z1<= nqfveff; z1++) { |
| fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.0f individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]); |
fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.3g (weighted) individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]); |
| fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]); |
fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]); |
| if(weightopt==1){ |
if(weightopt==1){ |
| printf(" Weighted mean and standard deviation of"); |
printf(" Weighted mean and standard deviation of"); |
| fprintf(ficlog," Weighted mean and standard deviation of"); |
fprintf(ficlog," Weighted mean and standard deviation of"); |
| fprintf(ficresphtmfr," Weighted mean and standard deviation of"); |
fprintf(ficresphtmfr," Weighted mean and standard deviation of"); |
| } |
} |
| printf(" fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); |
/* mu = \frac{w x}{\sum w} |
| fprintf(ficlog," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); |
var = \frac{\sum w (x-mu)^2}{\sum w} = \frac{w x^2}{\sum w} - mu^2 |
| fprintf(ficresphtmfr," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1])); |
*/ |
| |
printf(" fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); |
| |
fprintf(ficlog," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); |
| |
fprintf(ficresphtmfr," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1])); |
| } |
} |
| /* for (z1=1; z1<= nqtveff; z1++) { */ |
/* for (z1=1; z1<= nqtveff; z1++) { */ |
| /* for(m=1;m<=lastpass;m++){ */ |
/* for(m=1;m<=lastpass;m++){ */ |
|
Line 4755 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5470 Title=%s <br>Datafile=%s Firstpass=%d La
|
| fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
| if((cptcoveff==0 && nj==1)|| nj==2 ) /* no covariate and first pass */ |
if((cptcoveff==0 && nj==1)|| nj==2 ) /* no covariate and first pass */ |
| fprintf(ficresp, " Age"); |
fprintf(ficresp, " Age"); |
| if(nj==2) for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
if(nj==2) for (z1=1; z1<=cptcoveff; z1++) { |
| |
printf(" V%d=%d, z1=%d, Tvaraff[z1]=%d, j1=%d, TnsdVar[Tvaraff[%d]]=%d |",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])], z1, Tvaraff[z1], j1,z1,TnsdVar[Tvaraff[z1]]); |
| |
fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| |
} |
| for(i=1; i<=nlstate;i++) { |
for(i=1; i<=nlstate;i++) { |
| if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i); |
if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i); |
| fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
|
Line 4835 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5553 Title=%s <br>Datafile=%s Firstpass=%d La
|
| }else if( nj==2){ |
}else if( nj==2){ |
| if( iage <= iagemax){ |
if( iage <= iagemax){ |
| fprintf(ficresp," %d",iage); |
fprintf(ficresp," %d",iage); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); |
| } |
} |
| } |
} |
| for(s1=1; s1 <=nlstate ; s1++){ |
for(s1=1; s1 <=nlstate ; s1++){ |
|
Line 4912 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 5630 Title=%s <br>Datafile=%s Firstpass=%d La
|
| printf("# This combination (%d) is not valid and no result will be produced\n",j1); |
printf("# This combination (%d) is not valid and no result will be produced\n",j1); |
| invalidvarcomb[j1]=1; |
invalidvarcomb[j1]=1; |
| }else{ |
}else{ |
| fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1); |
fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced (or no resultline).</p>",j1); |
| invalidvarcomb[j1]=0; |
invalidvarcomb[j1]=0; |
| } |
} |
| fprintf(ficresphtmfr,"</table>\n"); |
fprintf(ficresphtmfr,"</table>\n"); |
|
Line 5143 void prevalence(double ***probs, double
|
Line 5861 void prevalence(double ***probs, double
|
| if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
| |
|
| first=0; |
first=0; |
| for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ |
for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of simple dummy covariates */ |
| for (i=1; i<=nlstate; i++) |
for (i=1; i<=nlstate; i++) |
| for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++) |
for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++) |
| prop[i][iage]=0.0; |
prop[i][iage]=0.0; |
|
Line 5160 void prevalence(double ***probs, double
|
Line 5878 void prevalence(double ***probs, double
|
| /* Tvar[Tmodelind[z1]] is the n of Vn; n-ncovcol-nqv is the first time varying covariate or iv */ |
/* Tvar[Tmodelind[z1]] is the n of Vn; n-ncovcol-nqv is the first time varying covariate or iv */ |
| for (z1=1; z1<=cptcoveff; z1++){ |
for (z1=1; z1<=cptcoveff; z1++){ |
| if( Fixed[Tmodelind[z1]]==1){ |
if( Fixed[Tmodelind[z1]]==1){ |
| iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; |
iv= Tvar[Tmodelind[z1]];/* because cotvar starts now at first ncovcol+nqv+ (1 to nqtv) */ |
| if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality */ |
if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality */ |
| bool=0; |
bool=0; |
| }else if( Fixed[Tmodelind[z1]]== 0) /* fixed */ |
}else if( Fixed[Tmodelind[z1]]== 0) /* fixed */ |
| if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) { |
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) { |
| bool=0; |
bool=0; |
| } |
} |
| } |
} |
|
Line 5247 void concatwav(int wav[], int **dh, int
|
Line 5965 void concatwav(int wav[], int **dh, int
|
| for(i=1; i<=imx; i++){ /* For simple cases and if state is death */ |
for(i=1; i<=imx; i++){ /* For simple cases and if state is death */ |
| mi=0; /* First valid wave */ |
mi=0; /* First valid wave */ |
| mli=0; /* Last valid wave */ |
mli=0; /* Last valid wave */ |
| m=firstpass; |
m=firstpass; /* Loop on waves */ |
| while(s[m][i] <= nlstate){ /* a live state */ |
while(s[m][i] <= nlstate){ /* a live state or unknown state */ |
| if(m >firstpass && s[m][i]==s[m-1][i] && mint[m][i]==mint[m-1][i] && anint[m][i]==anint[m-1][i]){/* Two succesive identical information on wave m */ |
if(m >firstpass && s[m][i]==s[m-1][i] && mint[m][i]==mint[m-1][i] && anint[m][i]==anint[m-1][i]){/* Two succesive identical information on wave m */ |
| mli=m-1;/* mw[++mi][i]=m-1; */ |
mli=m-1;/* mw[++mi][i]=m-1; */ |
| }else if(s[m][i]>=1 || s[m][i]==-4 || s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */ |
}else if(s[m][i]>=1 || s[m][i]==-4 || s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */ |
| mw[++mi][i]=m; |
mw[++mi][i]=m; /* Valid wave: incrementing mi and updating mi; mw[mi] is the wave number of mi_th valid transition */ |
| mli=m; |
mli=m; |
| } /* else might be a useless wave -1 and mi is not incremented and mw[mi] not updated */ |
} /* else might be a useless wave -1 and mi is not incremented and mw[mi] not updated */ |
| if(m < lastpass){ /* m < lastpass, standard case */ |
if(m < lastpass){ /* m < lastpass, standard case */ |
| m++; /* mi gives the "effective" current wave, m the current wave, go to next wave by incrementing m */ |
m++; /* mi gives the "effective" current wave, m the current wave, go to next wave by incrementing m */ |
| } |
} |
| else{ /* m >= lastpass, eventual special issue with warning */ |
else{ /* m = lastpass, eventual special issue with warning */ |
| #ifdef UNKNOWNSTATUSNOTCONTRIBUTING |
#ifdef UNKNOWNSTATUSNOTCONTRIBUTING |
| break; |
break; |
| #else |
#else |
| if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ |
if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ /* no death date and known date of interview, case -2 (vital status unknown is warned later */ |
| if(firsthree == 0){ |
if(firsthree == 0){ |
| printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath); |
printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath); |
| firsthree=1; |
firsthree=1; |
| |
}else if(firsthree >=1 && firsthree < 10){ |
| |
fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath); |
| |
firsthree++; |
| |
}else if(firsthree == 10){ |
| |
printf("Information, too many Information flags: no more reported to log either\n"); |
| |
fprintf(ficlog,"Information, too many Information flags: no more reported to log either\n"); |
| |
firsthree++; |
| |
}else{ |
| |
firsthree++; |
| } |
} |
| fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath); |
mw[++mi][i]=m; /* Valid transition with unknown status */ |
| mw[++mi][i]=m; |
|
| mli=m; |
mli=m; |
| } |
} |
| if(s[m][i]==-2){ /* Vital status is really unknown */ |
if(s[m][i]==-2){ /* Vital status is really unknown */ |
| nbwarn++; |
nbwarn++; |
| if((int)anint[m][i] == 9999){ /* Has the vital status really been verified? */ |
if((int)anint[m][i] == 9999){ /* Has the vital status really been verified?not a transition */ |
| printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); |
printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); |
| fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); |
fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); |
| } |
} |
|
Line 5298 void concatwav(int wav[], int **dh, int
|
Line 6024 void concatwav(int wav[], int **dh, int
|
| #ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE |
#ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE |
| else if ((int) andc[i] != 9999) { /* Date of death is known */ |
else if ((int) andc[i] != 9999) { /* Date of death is known */ |
| if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ |
if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ |
| if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* death occured before last wave and status should have been death instead of -1 */ |
if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* month of death occured before last wave month and status should have been death instead of -1 */ |
| nbwarn++; |
nbwarn++; |
| if(firstfiv==0){ |
if(firstfiv==0){ |
| printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d, interviewed on %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
| firstfiv=1; |
firstfiv=1; |
| }else{ |
}else{ |
| fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d, interviewed on %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
| } |
} |
| }else{ /* Death occured afer last wave potential bias */ |
s[m][i]=nlstate+1; /* Fixing the status as death. Be careful if multiple death states */ |
| |
}else{ /* Month of Death occured afer last wave month, potential bias */ |
| nberr++; |
nberr++; |
| if(firstwo==0){ |
if(firstwo==0){ |
| printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d with status %d. Potential bias if other individuals are still alive on this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictitious wave at the date of last vital status scan, with a dead status. See documentation\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
| firstwo=1; |
firstwo=1; |
| } |
} |
| fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\n\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d with status %d. Potential bias if other individuals are still alive on this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictitious wave at the date of last vital status scan, with a dead status. See documentation\n\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
| } |
} |
| }else{ /* if date of interview is unknown */ |
}else{ /* if date of interview is unknown */ |
| /* death is known but not confirmed by death status at any wave */ |
/* death is known but not confirmed by death status at any wave */ |
| if(firstfour==0){ |
if(firstfour==0){ |
| printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d with status %d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
| firstfour=1; |
firstfour=1; |
| } |
} |
| fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); |
fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d with status %d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); |
| } |
} |
| } /* end if date of death is known */ |
} /* end if date of death is known */ |
| #endif |
#endif |
| wav[i]=mi; /* mi should be the last effective wave (or mli) */ |
wav[i]=mi; /* mi should be the last effective wave (or mli), */ |
| /* wav[i]=mw[mi][i]; */ |
/* wav[i]=mw[mi][i]; */ |
| if(mi==0){ |
if(mi==0){ |
| nbwarn++; |
nbwarn++; |
| if(first==0){ |
if(first==0){ |
|
Line 5339 void concatwav(int wav[], int **dh, int
|
Line 6066 void concatwav(int wav[], int **dh, int
|
| } /* End individuals */ |
} /* End individuals */ |
| /* wav and mw are no more changed */ |
/* wav and mw are no more changed */ |
| |
|
| |
printf("Information, you have to check %d informations which haven't been logged!\n",firsthree); |
| |
fprintf(ficlog,"Information, you have to check %d informations which haven't been logged!\n",firsthree); |
| |
|
| |
|
| for(i=1; i<=imx; i++){ |
for(i=1; i<=imx; i++){ |
| for(mi=1; mi<wav[i];mi++){ |
for(mi=1; mi<wav[i];mi++){ |
| if (stepm <=0) |
if (stepm <=0) |
|
Line 5455 void concatwav(int wav[], int **dh, int
|
Line 6185 void concatwav(int wav[], int **dh, int
|
| nbcode[k][j]=0; /* Valgrind */ |
nbcode[k][j]=0; /* Valgrind */ |
| |
|
| /* Loop on covariates without age and products and no quantitative variable */ |
/* Loop on covariates without age and products and no quantitative variable */ |
| for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ |
for (k=1; k<=cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| for (j=-1; (j < maxncov); j++) Ndum[j]=0; |
for (j=-1; (j < maxncov); j++) Ndum[j]=0; |
| if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ |
printf("Testing k=%d, cptcovt=%d\n",k, cptcovt); |
| |
if(Dummy[k]==0 && Typevar[k] !=1 && Typevar[k] != 2){ /* Dummy covariate and not age product nor fixed product */ |
| switch(Fixed[k]) { |
switch(Fixed[k]) { |
| case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ |
| |
modmaxcovj=0; |
| |
modmincovj=0; |
| for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ |
for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ |
| |
/* printf("Waiting for error tricode Tvar[%d]=%d i=%d (int)(covar[Tvar[k]][i]=%d\n",k,Tvar[k], i, (int)(covar[Tvar[k]][i])); */ |
| ij=(int)(covar[Tvar[k]][i]); |
ij=(int)(covar[Tvar[k]][i]); |
| /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
/* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i |
| * If product of Vn*Vm, still boolean *: |
* If product of Vn*Vm, still boolean *: |
|
Line 5473 void concatwav(int wav[], int **dh, int
|
Line 6207 void concatwav(int wav[], int **dh, int
|
| else if (ij < modmincovj) |
else if (ij < modmincovj) |
| modmincovj=ij; |
modmincovj=ij; |
| if (ij <0 || ij >1 ){ |
if (ij <0 || ij >1 ){ |
| printf("Information, IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i); |
printf("ERROR, IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i); |
| fprintf(ficlog,"Information, currently IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i); |
fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i); |
| |
fflush(ficlog); |
| |
exit(1); |
| } |
} |
| if ((ij < -1) || (ij > NCOVMAX)){ |
if ((ij < -1) || (ij > NCOVMAX)){ |
| printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); |
|
Line 5549 void concatwav(int wav[], int **dh, int
|
Line 6285 void concatwav(int wav[], int **dh, int
|
| break; |
break; |
| } /* end switch */ |
} /* end switch */ |
| } /* end dummy test */ |
} /* end dummy test */ |
| |
if(Dummy[k]==1 && Typevar[k] !=1 && Fixed ==0){ /* Fixed Quantitative covariate and not age product */ |
| |
for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ |
| |
if(Tvar[k]<=0 || Tvar[k]>=NCOVMAX){ |
| |
printf("Error k=%d \n",k); |
| |
exit(1); |
| |
} |
| |
if(isnan(covar[Tvar[k]][i])){ |
| |
printf("ERROR, IMaCh doesn't treat fixed quantitative covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i); |
| |
fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i); |
| |
fflush(ficlog); |
| |
exit(1); |
| |
} |
| |
} |
| |
} /* end Quanti */ |
| } /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/ |
} /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/ |
| |
|
| for (k=-1; k< maxncov; k++) Ndum[k]=0; |
for (k=-1; k< maxncov; k++) Ndum[k]=0; |
|
Line 5562 void concatwav(int wav[], int **dh, int
|
Line 6312 void concatwav(int wav[], int **dh, int
|
| |
|
| ij=0; |
ij=0; |
| /* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */ |
/* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */ |
| for (k=1; k<= cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
for (k=1; k<= cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */ |
| |
/* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ |
| /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| /* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? *\/ */ |
/* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? *\/ */ |
| if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy and non empty in the model */ |
if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy simple and non empty in the model */ |
| |
/* Typevar[k] =0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
| |
/* Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product*/ |
| /* If product not in single variable we don't print results */ |
/* If product not in single variable we don't print results */ |
| /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
/*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ |
| ++ij;/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, */ |
++ij;/* V5 + V4 + V3 + V4*V3 + V5*age + V2 + V1*V2 + V1*age + V1, *//* V5 quanti, V2 quanti, V4, V3, V1 dummies */ |
| |
/* k= 1 2 3 4 5 6 7 8 9 */ |
| |
/* Tvar[k]= 5 4 3 6 5 2 7 1 1 */ |
| |
/* ij 1 2 3 */ |
| |
/* Tvaraff[ij]= 4 3 1 */ |
| |
/* Tmodelind[ij]=2 3 9 */ |
| |
/* TmodelInvind[ij]=2 1 1 */ |
| Tvaraff[ij]=Tvar[k]; /* For printing combination *//* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/ |
Tvaraff[ij]=Tvar[k]; /* For printing combination *//* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/ |
| Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */ |
Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */ |
| TmodelInvind[ij]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */ |
TmodelInvind[ij]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */ |
|
Line 5584 void concatwav(int wav[], int **dh, int
|
Line 6343 void concatwav(int wav[], int **dh, int
|
| } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ |
} /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ |
| /* ij--; */ |
/* ij--; */ |
| /* cptcoveff=ij; /\*Number of total covariates*\/ */ |
/* cptcoveff=ij; /\*Number of total covariates*\/ */ |
| *cptcov=ij; /*Number of total real effective covariates: effective |
*cptcov=ij; /* cptcov= Number of total real effective simple dummies (fixed or time arying) effective (used as cptcoveff in other functions) |
| * because they can be excluded from the model and real |
* because they can be excluded from the model and real |
| * if in the model but excluded because missing values, but how to get k from ij?*/ |
* if in the model but excluded because missing values, but how to get k from ij?*/ |
| for(j=ij+1; j<= cptcovt; j++){ |
for(j=ij+1; j<= cptcovt; j++){ |
|
Line 5605 void concatwav(int wav[], int **dh, int
|
Line 6364 void concatwav(int wav[], int **dh, int
|
| |
|
| { |
{ |
| /* Health expectancies, no variances */ |
/* Health expectancies, no variances */ |
| |
/* cij is the combination in the list of combination of dummy covariates */ |
| |
/* strstart is a string of time at start of computing */ |
| int i, j, nhstepm, hstepm, h, nstepm; |
int i, j, nhstepm, hstepm, h, nstepm; |
| int nhstepma, nstepma; /* Decreasing with age */ |
int nhstepma, nstepma; /* Decreasing with age */ |
| double age, agelim, hf; |
double age, agelim, hf; |
|
Line 5673 void concatwav(int wav[], int **dh, int
|
Line 6434 void concatwav(int wav[], int **dh, int
|
| /* If stepm=6 months */ |
/* If stepm=6 months */ |
| /* Computed by stepm unit matrices, product of hstepma matrices, stored |
/* Computed by stepm unit matrices, product of hstepma matrices, stored |
| in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */ |
in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */ |
| |
/* printf("HELLO evsij Entering hpxij age=%d cij=%d hstepm=%d x[1]=%f nres=%d\n",(int) age, cij, hstepm, x[1], nres); */ |
| hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres); |
hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres); |
| |
|
| hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ |
hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ |
|
Line 5715 void concatwav(int wav[], int **dh, int
|
Line 6476 void concatwav(int wav[], int **dh, int
|
| /* Covariances of health expectancies eij and of total life expectancies according |
/* Covariances of health expectancies eij and of total life expectancies according |
| to initial status i, ei. . |
to initial status i, ei. . |
| */ |
*/ |
| |
/* Very time consuming function, but already optimized with precov */ |
| int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji; |
int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji; |
| int nhstepma, nstepma; /* Decreasing with age */ |
int nhstepma, nstepma; /* Decreasing with age */ |
| double age, agelim, hf; |
double age, agelim, hf; |
|
Line 5862 void concatwav(int wav[], int **dh, int
|
Line 6624 void concatwav(int wav[], int **dh, int
|
| varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf; |
varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf; |
| } |
} |
| } |
} |
| |
/* if((int)age ==50){ */ |
| |
/* printf(" age=%d cij=%d nres=%d varhe[%d][%d]=%f ",(int)age, cij, nres, 1,2,varhe[1][2]); */ |
| |
/* } */ |
| /* Computing expectancies */ |
/* Computing expectancies */ |
| hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres); |
hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres); |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
|
Line 5981 void concatwav(int wav[], int **dh, int
|
Line 6745 void concatwav(int wav[], int **dh, int
|
| pstamp(ficresprobmorprev); |
pstamp(ficresprobmorprev); |
| fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm); |
fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm); |
| fprintf(ficresprobmorprev,"# Selected quantitative variables and dummies"); |
fprintf(ficresprobmorprev,"# Selected quantitative variables and dummies"); |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
|
| fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* We use TinvDoQresult[nres][resultmodel[nres][j] we sort according to the equation model and the resultline: it is a choice */ |
| |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ /\* To be done*\/ */ |
| |
/* fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* } */ |
| |
for (j=1; j<= cptcovs; j++){ /* For each selected (single) quantitative value */ /* To be done*/ |
| |
fprintf(ficresprobmorprev," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| for(j=1;j<=cptcoveff;j++) |
/* for(j=1;j<=cptcoveff;j++) */ |
| fprintf(ficresprobmorprev,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,j)]); |
/* fprintf(ficresprobmorprev," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficresprobmorprev,"\n"); |
fprintf(ficresprobmorprev,"\n"); |
| |
|
| fprintf(ficresprobmorprev,"# Age cov=%-d",ij); |
fprintf(ficresprobmorprev,"# Age cov=%-d",ij); |
|
Line 6525 void varprob(char optionfilefiname[], do
|
Line 7294 void varprob(char optionfilefiname[], do
|
| int k2, l2, j1, z1; |
int k2, l2, j1, z1; |
| int k=0, l; |
int k=0, l; |
| int first=1, first1, first2; |
int first=1, first1, first2; |
| |
int nres=0; /* New */ |
| double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; |
double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; |
| double **dnewm,**doldm; |
double **dnewm,**doldm; |
| double *xp; |
double *xp; |
|
Line 6612 To be simple, these graphs help to under
|
Line 7382 To be simple, these graphs help to under
|
| tj = (int) pow(2,cptcoveff); |
tj = (int) pow(2,cptcoveff); |
| if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
if (cptcovn<1) {tj=1;ncodemax[1]=1;} |
| j1=0; |
j1=0; |
| for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates or only once*/ |
|
| |
for(nres=1;nres <=nresult; nres++){ /* For each resultline */ |
| |
for(j1=1; j1<=tj;j1++){ /* For any combination of dummy covariates, fixed and varying */ |
| |
/* printf("Varprob TKresult[nres]=%d j1=%d, nres=%d, cptcovn=%d, cptcoveff=%d tj=%d cptcovs=%d\n", TKresult[nres], j1, nres, cptcovn, cptcoveff, tj, cptcovs); */ |
| |
if(tj != 1 && TKresult[nres]!= j1) |
| |
continue; |
| |
|
| |
/* for(j1=1; j1<=tj;j1++){ /\* For each valid combination of covariates or only once*\/ */ |
| |
/* for(nres=1;nres <=1; nres++){ /\* For each resultline *\/ */ |
| |
/* /\* for(nres=1;nres <=nresult; nres++){ /\\* For each resultline *\\/ *\/ */ |
| if (cptcovn>0) { |
if (cptcovn>0) { |
| fprintf(ficresprob, "\n#********** Variable "); |
fprintf(ficresprob, "\n#********** Variable "); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(ficresprob, "**********\n#\n"); |
|
| fprintf(ficresprobcov, "\n#********** Variable "); |
fprintf(ficresprobcov, "\n#********** Variable "); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficgp, "\n#********** Variable "); |
| fprintf(ficresprobcov, "**********\n#\n"); |
|
| |
|
| fprintf(ficgp, "\n#********** Variable "); |
|
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(ficgp, "**********\n#\n"); |
|
| |
|
| |
|
| fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable "); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
|
| |
|
| fprintf(ficresprobcor, "\n#********** Variable "); |
fprintf(ficresprobcor, "\n#********** Variable "); |
| for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
| |
/* Including quantitative variables of the resultline to be done */ |
| |
for (z1=1; z1<=cptcovs; z1++){ /* Loop on each variable of this resultline */ |
| |
printf("Varprob modelresult[%d][%d]=%d model=1+age+%s \n",nres, z1, modelresult[nres][z1], model); |
| |
fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=1+age+%s \n",nres, z1, modelresult[nres][z1], model); |
| |
/* fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=1+age+%s resultline[%d]=%s \n",nres, z1, modelresult[nres][z1], model, nres, resultline[nres]); */ |
| |
if(Dummy[modelresult[nres][z1]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to z1 in resultline */ |
| |
if(Fixed[modelresult[nres][z1]]==0){ /* Fixed referenced to model equation */ |
| |
fprintf(ficresprob,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
fprintf(ficresprobcov,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
fprintf(ficgp,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
fprintf(fichtmcov,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
fprintf(ficresprobcor,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
fprintf(ficresprob,"fixed "); |
| |
fprintf(ficresprobcov,"fixed "); |
| |
fprintf(ficgp,"fixed "); |
| |
fprintf(fichtmcov,"fixed "); |
| |
fprintf(ficresprobcor,"fixed "); |
| |
}else{ |
| |
fprintf(ficresprob,"varyi "); |
| |
fprintf(ficresprobcov,"varyi "); |
| |
fprintf(ficgp,"varyi "); |
| |
fprintf(fichtmcov,"varyi "); |
| |
fprintf(ficresprobcor,"varyi "); |
| |
} |
| |
}else if(Dummy[modelresult[nres][z1]]==1){ /* Quanti variable */ |
| |
/* For each selected (single) quantitative value */ |
| |
fprintf(ficresprob," V%d=%lg ",Tvqresult[nres][z1],Tqresult[nres][z1]); |
| |
if(Fixed[modelresult[nres][z1]]==0){ /* Fixed */ |
| |
fprintf(ficresprob,"fixed "); |
| |
fprintf(ficresprobcov,"fixed "); |
| |
fprintf(ficgp,"fixed "); |
| |
fprintf(fichtmcov,"fixed "); |
| |
fprintf(ficresprobcor,"fixed "); |
| |
}else{ |
| |
fprintf(ficresprob,"varyi "); |
| |
fprintf(ficresprobcov,"varyi "); |
| |
fprintf(ficgp,"varyi "); |
| |
fprintf(fichtmcov,"varyi "); |
| |
fprintf(ficresprobcor,"varyi "); |
| |
} |
| |
}else{ |
| |
printf("Error in varprob() Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=V%d cptcovs=%d, cptcoveff=%d \n", nres, z1, Dummy[modelresult[nres][z1]],nres,z1,modelresult[nres][z1],cptcovs, cptcoveff); /* end if dummy or quanti */ |
| |
fprintf(ficlog,"Error in varprob() Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=V%d cptcovs=%d, cptcoveff=%d \n", nres, z1, Dummy[modelresult[nres][z1]],nres,z1,modelresult[nres][z1],cptcovs, cptcoveff); /* end if dummy or quanti */ |
| |
exit(1); |
| |
} |
| |
} /* End loop on variable of this resultline */ |
| |
/* for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); */ |
| |
fprintf(ficresprob, "**********\n#\n"); |
| |
fprintf(ficresprobcov, "**********\n#\n"); |
| |
fprintf(ficgp, "**********\n#\n"); |
| |
fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">"); |
| fprintf(ficresprobcor, "**********\n#"); |
fprintf(ficresprobcor, "**********\n#"); |
| if(invalidvarcomb[j1]){ |
if(invalidvarcomb[j1]){ |
| fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); |
|
Line 6643 To be simple, these graphs help to under
|
Line 7461 To be simple, these graphs help to under
|
| trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); |
trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); |
| gp=vector(1,(nlstate)*(nlstate+ndeath)); |
gp=vector(1,(nlstate)*(nlstate+ndeath)); |
| gm=vector(1,(nlstate)*(nlstate+ndeath)); |
gm=vector(1,(nlstate)*(nlstate+ndeath)); |
| for (age=bage; age<=fage; age ++){ |
for (age=bage; age<=fage; age ++){ /* Fo each age we feed the model equation with covariates, using precov as in hpxij() ? */ |
| cov[2]=age; |
cov[2]=age; |
| if(nagesqr==1) |
if(nagesqr==1) |
| cov[3]= age*age; |
cov[3]= age*age; |
| for (k=1; k<=cptcovn;k++) { |
/* New code end of combination but for each resultline */ |
| cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; |
for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */ |
| /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 |
if(Typevar[k1]==1){ /* A product with age */ |
| * 1 1 1 1 1 |
cov[2+nagesqr+k1]=precov[nres][k1]*cov[2]; |
| * 2 2 1 1 1 |
}else{ |
| * 3 1 2 1 1 |
cov[2+nagesqr+k1]=precov[nres][k1]; |
| */ |
} |
| /* nbcode[1][1]=0 nbcode[1][2]=1;*/ |
}/* End of loop on model equation */ |
| } |
/* Old code */ |
| /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ |
/* /\* for (k=1; k<=cptcovn;k++) { *\/ */ |
| for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; |
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; *\/ */ |
| for (k=1; k<=cptcovprod;k++) |
/* for (k=1; k<=nsd;k++) { /\* For single dummy covariates only *\/ */ |
| cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; |
/* /\* Here comes the value of the covariate 'j1' after renumbering k with single dummy covariates *\/ */ |
| |
/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(j1,TnsdVar[TvarsD[k]])]; */ |
| |
/* /\*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*\//\* j1 1 2 3 4 */ |
| |
/* * 1 1 1 1 1 */ |
| |
/* * 2 2 1 1 1 */ |
| |
/* * 3 1 2 1 1 */ |
| |
/* *\/ */ |
| |
/* /\* nbcode[1][1]=0 nbcode[1][2]=1;*\/ */ |
| |
/* } */ |
| |
/* /\* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1, Tage[1]=2 *\/ */ |
| |
/* /\* ) p nbcode[Tvar[Tage[k]]][(1 & (ij-1) >> (k-1))+1] *\/ */ |
| |
/* /\*for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; *\/ */ |
| |
/* for (k=1; k<=cptcovage;k++){ /\* For product with age *\/ */ |
| |
/* if(Dummy[Tage[k]]==2){ /\* dummy with age *\/ */ |
| |
/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(j1,TnsdVar[Tvar[Tage[k]]])]*cov[2]; */ |
| |
/* /\* cov[++k1]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; *\/ */ |
| |
/* } else if(Dummy[Tage[k]]==3){ /\* quantitative with age *\/ */ |
| |
/* printf("Internal IMaCh error, don't know which value for quantitative covariate with age, Tage[k]%d, k=%d, Tvar[Tage[k]]=V%d, age=%d\n",Tage[k],k ,Tvar[Tage[k]], (int)cov[2]); */ |
| |
/* /\* cov[2+nagesqr+Tage[k]]=meanq[k]/idq[k]*cov[2];/\\* Using the mean of quantitative variable Tvar[Tage[k]] /\\* Tqresult[nres][k]; *\\/ *\/ */ |
| |
/* /\* exit(1); *\/ */ |
| |
/* /\* cov[++k1]=Tqresult[nres][k]; *\/ */ |
| |
/* } */ |
| |
/* /\* cov[2+Tage[k]+nagesqr]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; *\/ */ |
| |
/* } */ |
| |
/* for (k=1; k<=cptcovprod;k++){/\* For product without age *\/ */ |
| |
/* if(Dummy[Tvard[k][1]]==0){ */ |
| |
/* if(Dummy[Tvard[k][2]]==0){ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(j1,TnsdVar[Tvard[k][1]])] * nbcode[Tvard[k][2]][codtabm(j1,TnsdVar[Tvard[k][2]])]; */ |
| |
/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
| |
/* }else{ /\* Should we use the mean of the quantitative variables? *\/ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(j1,TnsdVar[Tvard[k][1]])] * Tqresult[nres][resultmodel[nres][k]]; */ |
| |
/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; *\/ */ |
| |
/* } */ |
| |
/* }else{ */ |
| |
/* if(Dummy[Tvard[k][2]]==0){ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(j1,TnsdVar[Tvard[k][2]])] * Tqinvresult[nres][TnsdVar[Tvard[k][1]]]; */ |
| |
/* /\* cov[++k1]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; *\/ */ |
| |
/* }else{ */ |
| |
/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][TnsdVar[Tvard[k][1]]]* Tqinvresult[nres][TnsdVar[Tvard[k][2]]]; */ |
| |
/* /\* cov[++k1]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; *\/ */ |
| |
/* } */ |
| |
/* } */ |
| |
/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; *\/ */ |
| |
/* } */ |
| |
/* For each age and combination of dummy covariates we slightly move the parameters of delti in order to get the gradient*/ |
| for(theta=1; theta <=npar; theta++){ |
for(theta=1; theta <=npar; theta++){ |
| for(i=1; i<=npar; i++) |
for(i=1; i<=npar; i++) |
| xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); |
xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); |
|
Line 6847 To be simple, these graphs help to under
|
Line 7707 To be simple, these graphs help to under
|
| } /*l1 */ |
} /*l1 */ |
| }/* k1 */ |
}/* k1 */ |
| } /* loop on combination of covariates j1 */ |
} /* loop on combination of covariates j1 */ |
| |
} /* loop on nres */ |
| free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); |
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); |
| free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); |
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); |
| free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); |
free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); |
|
Line 6868 void printinghtml(char fileresu[], char
|
Line 7729 void printinghtml(char fileresu[], char
|
| double jprev1, double mprev1,double anprev1, double dateprev1, double dateprojd, double dateback1, \ |
double jprev1, double mprev1,double anprev1, double dateprev1, double dateprojd, double dateback1, \ |
| double jprev2, double mprev2,double anprev2, double dateprev2, double dateprojf, double dateback2){ |
double jprev2, double mprev2,double anprev2, double dateprev2, double dateprojf, double dateback2){ |
| int jj1, k1, i1, cpt, k4, nres; |
int jj1, k1, i1, cpt, k4, nres; |
| |
/* In fact some results are already printed in fichtm which is open */ |
| fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \ |
fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \ |
| <li><a href='#secondorder'>Result files (second order (variance)</a>\n \ |
<li><a href='#secondorder'>Result files (second order (variance)</a>\n \ |
| </ul>"); |
</ul>"); |
| fprintf(fichtm,"<ul><li> model=1+age+%s\n \ |
/* fprintf(fichtm,"<ul><li> model=1+age+%s\n \ */ |
| </ul>", model); |
/* </ul>", model); */ |
| fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n"); |
fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n"); |
| fprintf(fichtm,"<li>- Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file)<br/>\n", |
fprintf(fichtm,"<li>- Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file)<br/>\n", |
| jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm")); |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm")); |
| fprintf(fichtm,"<li> - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file) ", |
fprintf(fichtm,"<li> - Observed prevalence (cross-sectional prevalence) in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file) ", |
| jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm")); |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm")); |
| fprintf(fichtm,", <a href=\"%s\">%s</a> (text file) <br>\n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_")); |
fprintf(fichtm,", <a href=\"%s\">%s</a> (text file) <br>\n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_")); |
| fprintf(fichtm,"\ |
fprintf(fichtm,"\ |
|
Line 6906 void printinghtml(char fileresu[], char
|
Line 7767 void printinghtml(char fileresu[], char
|
| m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
fprintf(fichtm," \n<ul><li><b>Graphs (first order)</b></li><p>"); |
| |
|
| jj1=0; |
jj1=0; |
| |
|
| fprintf(fichtm," \n<ul>"); |
fprintf(fichtm," \n<ul>"); |
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ |
/* k1=nres; */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0)k1=1; /* To be checked for no result */ |
| |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescov"); |
fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescov"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ /**< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) */ |
| fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| } |
|
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
|
| fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]); |
|
| } |
} |
| |
/* for (cpt=1; cpt<=cptcoveff;cpt++){ */ |
| |
/* fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* } */ |
| fprintf(fichtm,"\">"); |
fprintf(fichtm,"\">"); |
| |
|
| /* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
| fprintf(fichtm,"************ Results for covariates"); |
fprintf(fichtm,"************ Results for covariates"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| } |
|
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
|
| fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
|
| } |
} |
| |
/* fprintf(fichtm,"************ Results for covariates"); */ |
| |
/* for (cpt=1; cpt<=cptcoveff;cpt++){ */ |
| |
/* fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* } */ |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); |
fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); |
| continue; |
continue; |
|
Line 6941 void printinghtml(char fileresu[], char
|
Line 7812 void printinghtml(char fileresu[], char
|
| fprintf(fichtm,"</a></li>"); |
fprintf(fichtm,"</a></li>"); |
| } /* cptcovn >0 */ |
} /* cptcovn >0 */ |
| } |
} |
| fprintf(fichtm," \n</ul>"); |
fprintf(fichtm," \n</ul>"); |
| |
|
| jj1=0; |
jj1=0; |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ |
/* k1=nres; */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| |
|
| /* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
/* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| fprintf(fichtm,"\n<p><a name=\"rescov"); |
fprintf(fichtm,"\n<p><a name=\"rescov"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| } |
|
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
|
| fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]); |
|
| } |
} |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* } */ |
| fprintf(fichtm,"\"</a>"); |
fprintf(fichtm,"\"</a>"); |
| |
|
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=cptcoveff;cpt++){ |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); |
fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| printf(" V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);fflush(stdout); |
printf(" V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ |
/* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ |
| /* printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); */ |
/* printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); */ |
| } |
} |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
|
| fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
|
| printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);fflush(stdout); |
|
| } |
|
| |
|
| /* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
| fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," (model=1+age+%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); |
| printf("\nCombination (%d) ignored because no cases \n",k1); |
printf("\nCombination (%d) ignored because no cases \n",k1); |
|
Line 6996 divided by h: <sub>h</sub>P<sub>ij</sub>
|
Line 7865 divided by h: <sub>h</sub>P<sub>ij</sub>
|
| <img src=\"%s_%d-3-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); |
<img src=\"%s_%d-3-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); |
| /* Survival functions (period) in state j */ |
/* Survival functions (period) in state j */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Survival functions in state %d. And probability to be observed in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Survival functions in state %d. And probability to be observed in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJ_"),subdirf2(optionfilefiname,"PIJ_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); |
| } |
} |
| /* State specific survival functions (period) */ |
/* State specific survival functions (period) */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Survival functions in state %d and in any other live state (total).\ |
fprintf(fichtm,"<br>\n- Survival functions in state %d and in any other live state (total).\ |
| And probability to be observed in various states (up to %d) being in state %d at different ages. \ |
And probability to be observed in various states (up to %d) being in state %d at different ages. \ |
| <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> <img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres); |
<a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> ", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres); |
| |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJ_"),subdirf2(optionfilefiname,"PIJ_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres); |
| } |
} |
| /* Period (forward stable) prevalence in each health state */ |
/* Period (forward stable) prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJ_"),subdirf2(optionfilefiname,"PIJ_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
| } |
} |
| if(prevbcast==1){ |
if(prevbcast==1){ |
| /* Backward prevalence in each health state */ |
/* Backward prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJB_"),subdirf2(optionfilefiname,"PIJB_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
| } |
} |
| } |
} |
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* Projection of prevalence up to period (forward stable) prevalence in each health state */ |
/* Projection of prevalence up to period (forward stable) prevalence in each health state */ |
| for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
| fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>", dateprev1, dateprev2, mobilavproj, dateprojd, dateprojf, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateprojd, dateprojf, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"F_"),subdirf2(optionfilefiname,"F_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">", |
| |
subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); |
| } |
} |
| } |
} |
| if(prevbcast==1){ |
if(prevbcast==1){ |
|
Line 7030 divided by h: <sub>h</sub>P<sub>ij</sub>
|
Line 7906 divided by h: <sub>h</sub>P<sub>ij</sub>
|
| fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \ |
fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \ |
| from year %.1f up to year %.1f (probably close to stable [mixed] back prevalence in state %d (randomness in cross-sectional prevalence is not taken into \ |
from year %.1f up to year %.1f (probably close to stable [mixed] back prevalence in state %d (randomness in cross-sectional prevalence is not taken into \ |
| account but can visually be appreciated). Or probability to have been in an state %d, knowing that the person was in either state (1 or %d) \ |
account but can visually be appreciated). Or probability to have been in an state %d, knowing that the person was in either state (1 or %d) \ |
| with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>", dateprev1, dateprev2, mobilavproj, dateback1, dateback2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateback1, dateback2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"FB_"),subdirf2(optionfilefiname,"FB_")); |
| |
fprintf(fichtm," <img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres); |
| } |
} |
| } |
} |
| |
|
| for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
| fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a> <br> \ |
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\"> %s.txt</a>)\n<br>",subdirf2(optionfilefiname,"E_"),subdirf2(optionfilefiname,"E_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres ); |
| } |
} |
| /* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
| }/* End k1 */ |
}/* End k1=nres */ |
| fprintf(fichtm,"</ul>"); |
fprintf(fichtm,"</ul>"); |
| |
|
| fprintf(fichtm,"\ |
fprintf(fichtm,"\ |
|
Line 7087 See page 'Matrix of variance-covariance
|
Line 7965 See page 'Matrix of variance-covariance
|
| /* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */ |
/* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */ |
| /* <br>",fileres,fileres,fileres,fileres); */ |
/* <br>",fileres,fileres,fileres,fileres); */ |
| /* else */ |
/* else */ |
| /* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */ |
/* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=1+age+%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */ |
| fflush(fichtm); |
fflush(fichtm); |
| fprintf(fichtm," <ul><li><b>Graphs</b></li><p>"); |
|
| |
|
| m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
| if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
if (cptcovn < 1) {m=1;ncodemax[1]=1;} |
| |
|
| |
fprintf(fichtm," <ul><li><b>Graphs (second order)</b></li><p>"); |
| |
|
| |
jj1=0; |
| |
|
| |
fprintf(fichtm," \n<ul>"); |
| |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| |
/* k1=nres; */ |
| |
k1=TKresult[nres]; |
| |
/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate *\/ */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| |
jj1++; |
| |
if (cptcovn > 0) { |
| |
fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescovsecond"); |
| |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| |
fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| |
} |
| |
fprintf(fichtm,"\">"); |
| |
|
| |
/* if(nqfveff+nqtveff 0) */ /* Test to be done */ |
| |
fprintf(fichtm,"************ Results for covariates"); |
| |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| |
fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| |
} |
| |
if(invalidvarcomb[k1]){ |
| |
fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); |
| |
continue; |
| |
} |
| |
fprintf(fichtm,"</a></li>"); |
| |
} /* cptcovn >0 */ |
| |
} /* End nres */ |
| |
fprintf(fichtm," \n</ul>"); |
| |
|
| jj1=0; |
jj1=0; |
| |
|
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k1=1; k1<=m;k1++){ |
/* k1=nres; */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* for(k1=1; k1<=m;k1++){ */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| /* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
/* for(i1=1; i1<=ncodemax[k1];i1++){ */ |
| jj1++; |
jj1++; |
| if (cptcovn > 0) { |
if (cptcovn > 0) { |
| |
fprintf(fichtm,"\n<p><a name=\"rescovsecond"); |
| |
for (cpt=1; cpt<=cptcovs;cpt++){ |
| |
fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| |
} |
| |
fprintf(fichtm,"\"</a>"); |
| |
|
| fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates"); |
| for (cpt=1; cpt<=cptcoveff;cpt++) /**< cptcoveff number of variables */ |
for (cpt=1; cpt<=cptcovs;cpt++){ /**< cptcoveff number of variables */ |
| fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]); |
fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| |
printf(" V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]); |
| /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ |
/* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
} |
| fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
|
| } |
|
| |
|
| fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," (model=1+age+%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model); |
| |
|
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
| fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); |
| continue; |
continue; |
| } |
} |
| } |
} /* If cptcovn >0 */ |
| for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
| fprintf(fichtm,"\n<br>- Observed (cross-sectional with mov_average=%d) and period (incidence based) \ |
fprintf(fichtm,"\n<br>- Observed (cross-sectional with mov_average=%d) and period (incidence based) \ |
| prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>\n <br>\ |
prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
| <img src=\"%s_%d-%d-%d.svg\">",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s\">%s</a>)\n <br>",subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",subdirf2(optionfilefiname,"V_"), cpt,k1,nres); |
| } |
} |
| fprintf(fichtm,"\n<br>- Total life expectancy by age and \ |
fprintf(fichtm,"\n<br>- Total life expectancy by age and \ |
| health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \ |
health expectancies in each live states (1 to %d). If popbased=1 the smooth (due to the model) \ |
| true period expectancies (those weighted with period prevalences are also\ |
true period expectancies (those weighted with period prevalences are also\ |
| drawn in addition to the population based expectancies computed using\ |
drawn in addition to the population based expectancies computed using\ |
| observed and cahotic prevalences: <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>\n<br>\ |
observed and cahotic prevalences: <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>",nlstate, subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres); |
| <img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres); |
fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>) \n<br>",subdirf2(optionfilefiname,"T_"),subdirf2(optionfilefiname,"T_")); |
| |
fprintf(fichtm,"<img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres); |
| /* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
| }/* End k1 */ |
|
| }/* End nres */ |
}/* End nres */ |
| fprintf(fichtm,"</ul>"); |
fprintf(fichtm,"</ul>"); |
| fflush(fichtm); |
fflush(fichtm); |
|
Line 7208 void printinggnuplot(char fileresu[], ch
|
Line 8127 void printinggnuplot(char fileresu[], ch
|
| strcpy(optfileres,"vpl"); |
strcpy(optfileres,"vpl"); |
| /* 1eme*/ |
/* 1eme*/ |
| for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */ |
for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */ |
| for (k1=1; k1<= m ; k1 ++){ /* For each valid combination of covariate */ |
/* for (k1=1; k1<= m ; k1 ++){ /\* For each valid combination of covariate *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| |
k1=TKresult[nres]; |
| |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
| if(m != 1 && TKresult[nres]!= k1) |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| continue; |
/* continue; */ |
| /* We are interested in selected combination by the resultline */ |
/* We are interested in selected combination by the resultline */ |
| /* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */ |
/* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */ |
| fprintf(ficgp,"\n# 1st: Forward (stable period) prevalence with CI: 'VPL_' files and live state =%d ", cpt); |
fprintf(ficgp,"\n# 1st: Forward (stable period) prevalence with CI: 'VPL_' files and live state =%d ", cpt); |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
|
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate k get corresponding value lv for combination k1 *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; /* vlv is the value of the covariate lv, 0 or 1 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the value of the covariate corresponding to k1 combination *\\/ *\/ */ |
| /* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| /* printf(" V%d=%d ",Tvaraff[k],vlv); */ |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| } |
/* vlv= nbcode[Tvaraff[k]][lv]; /\* vlv is the value of the covariate lv, 0 or 1 *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv *\/ */ |
| /* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
/* /\* printf(" V%d=%d ",Tvaraff[k],vlv); *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* /\* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| /* printf("\n#\n"); */ |
/* printf("\n#\n"); */ |
|
Line 7245 void printinggnuplot(char fileresu[], ch
|
Line 8171 void printinggnuplot(char fileresu[], ch
|
| fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
| fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
| /* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ |
/* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ |
| fprintf(ficgp,"set title \"Alive state %d %s\" font \"Helvetica,12\"\n",cpt,gplotlabel); |
fprintf(ficgp,"set title \"Alive state %d %s model=1+age+%s\" font \"Helvetica,12\"\n",cpt,gplotlabel,model); |
| fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); |
| /* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ |
/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ |
| /* k1-1 error should be nres-1*/ |
/* k1-1 error should be nres-1*/ |
|
Line 7271 void printinggnuplot(char fileresu[], ch
|
Line 8197 void printinggnuplot(char fileresu[], ch
|
| }else{ |
}else{ |
| kl=0; |
kl=0; |
| for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
| |
lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
Line 7299 void printinggnuplot(char fileresu[], ch
|
Line 8226 void printinggnuplot(char fileresu[], ch
|
| }else{ |
}else{ |
| kl=0; |
kl=0; |
| for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate *\/ */ |
| |
lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* vlv= nbcode[Tvaraff[k]][lv]; */ |
| |
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
| kl++; |
kl++; |
| /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
/* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
| /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
/*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ |
|
Line 7313 void printinggnuplot(char fileresu[], ch
|
Line 8242 void printinggnuplot(char fileresu[], ch
|
| fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ |
| 2+cptcoveff*2+(cpt-1), cpt ); /* 4 or 6 ?*/ |
2+cptcoveff*2+(cpt-1), cpt ); /* 4 or 6 ?*/ |
| }else{ |
}else{ |
| fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); |
fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]); |
| kl++; |
kl++; |
| } |
} |
| } /* end covariate */ |
} /* end covariate */ |
|
Line 7341 void printinggnuplot(char fileresu[], ch
|
Line 8270 void printinggnuplot(char fileresu[], ch
|
| /* fprintf(ficgp,"\nset out ;unset label;\n"); */ |
/* fprintf(ficgp,"\nset out ;unset label;\n"); */ |
| fprintf(ficgp,"\nset out ;unset title;\n"); |
fprintf(ficgp,"\nset out ;unset title;\n"); |
| } /* nres */ |
} /* nres */ |
| } /* k1 */ |
/* } /\* k1 *\/ */ |
| } /* cpt */ |
} /* cpt */ |
| |
|
| |
|
| /*2 eme*/ |
/*2 eme*/ |
| for (k1=1; k1<= m ; k1 ++){ |
/* for (k1=1; k1<= m ; k1 ++){ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| } |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| /* for(k=1; k <= ncovds; k++){ */ |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* } */ |
| |
/* /\* for(k=1; k <= ncovds; k++){ *\/ */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 7407 void printinggnuplot(char fileresu[], ch
|
Line 8343 void printinggnuplot(char fileresu[], ch
|
| } /* vpopbased */ |
} /* vpopbased */ |
| fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */ |
fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */ |
| } /* end nres */ |
} /* end nres */ |
| } /* k1 end 2 eme*/ |
/* } /\* k1 end 2 eme*\/ */ |
| |
|
| |
|
| /*3eme*/ |
/*3eme*/ |
| for (k1=1; k1<= m ; k1 ++){ |
/* for (k1=1; k1<= m ; k1 ++){ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| |
|
| for (cpt=1; cpt<= nlstate ; cpt ++) { |
for (cpt=1; cpt<= nlstate ; cpt ++) { /* Fragile no verification of covariate values */ |
| fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt); |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| } |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| } |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| if(invalidvarcomb[k1]){ |
if(invalidvarcomb[k1]){ |
|
Line 7462 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 8405 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
| } |
} |
| fprintf(ficgp,"\nunset label;\n"); |
fprintf(ficgp,"\nunset label;\n"); |
| } /* end nres */ |
} /* end nres */ |
| } /* end kl 3eme */ |
/* } /\* end kl 3eme *\/ */ |
| |
|
| /* 4eme */ |
/* 4eme */ |
| /* Survival functions (period) from state i in state j by initial state i */ |
/* Survival functions (period) from state i in state j by initial state i */ |
| for (k1=1; k1<=m; k1++){ /* For each covariate and each value */ |
/* for (k1=1; k1<=m; k1++){ /\* For each covariate and each value *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state %d : 'LIJ_' files, cov=%d state=%d", cpt, k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| } |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 7513 set ter svg size 640, 480\nunset log y\n
|
Line 8463 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp,"\nset out; unset label;\n"); |
fprintf(ficgp,"\nset out; unset label;\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end nres */ |
} /* end nres */ |
| } /* end covariate k1 */ |
/* } /\* end covariate k1 *\/ */ |
| |
|
| /* 5eme */ |
/* 5eme */ |
| /* Survival functions (period) from state i in state j by final state j */ |
/* Survival functions (period) from state i in state j by final state j */ |
| for (k1=1; k1<= m ; k1++){ /* For each covariate combination if any */ |
/* for (k1=1; k1<= m ; k1++){ /\* For each covariate combination if any *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| } |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 7571 set ter svg size 640, 480\nunset log y\n
|
Line 8528 set ter svg size 640, 480\nunset log y\n
|
| } |
} |
| fprintf(ficgp,"\nset out; unset label;\n"); |
fprintf(ficgp,"\nset out; unset label;\n"); |
| } /* end cpt state*/ |
} /* end cpt state*/ |
| } /* end covariate */ |
/* } /\* end covariate *\/ */ |
| } /* end nres */ |
} /* end nres */ |
| |
|
| /* 6eme */ |
/* 6eme */ |
| /* CV preval stable (period) for each covariate */ |
/* CV preval stable (period) for each covariate */ |
| for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ |
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n#CV preval stable (forward): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV preval stable (forward): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| } |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 7627 set ter svg size 640, 480\nunset log y\n
|
Line 8591 set ter svg size 640, 480\nunset log y\n
|
| /* 7eme */ |
/* 7eme */ |
| if(prevbcast == 1){ |
if(prevbcast == 1){ |
| /* CV backward prevalence for each covariate */ |
/* CV backward prevalence for each covariate */ |
| for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ |
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n#CV Backward stable prevalence: 'pijb' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV Backward stable prevalence: 'pijb' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination *\\/ *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| } |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 7666 set ter svg size 640, 480\nunset log y\n
|
Line 8637 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp,", '' "); |
fprintf(ficgp,", '' "); |
| /* l=(nlstate+ndeath)*(i-1)+1; */ |
/* l=(nlstate+ndeath)*(i-1)+1; */ |
| l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */ |
l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */ |
| /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ |
| /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ |
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ |
| fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */ |
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */ |
| /* for (j=2; j<= nlstate ; j ++) */ |
/* for (j=2; j<= nlstate ; j ++) */ |
| /* fprintf(ficgp,"+$%d",k+l+j-1); */ |
/* fprintf(ficgp,"+$%d",k+l+j-1); */ |
|
Line 7683 set ter svg size 640, 480\nunset log y\n
|
Line 8654 set ter svg size 640, 480\nunset log y\n
|
| if(prevfcast==1){ |
if(prevfcast==1){ |
| /* Projection from cross-sectional to forward stable (period) prevalence for each covariate */ |
/* Projection from cross-sectional to forward stable (period) prevalence for each covariate */ |
| |
|
| for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ |
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n#Projection of prevalence to forward stable prevalence (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#Projection of prevalence to forward stable prevalence (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate *\\/ *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| } |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 7757 set ter svg size 640, 480\nunset log y\n
|
Line 8735 set ter svg size 640, 480\nunset log y\n
|
| kl=0; |
kl=0; |
| strcpy(gplotcondition,"("); |
strcpy(gplotcondition,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ |
for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| |
lv=codtabm(k1,TnsdVar[Tvaraff[k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */ |
/* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] *\/ */ |
| |
vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; |
| kl++; |
kl++; |
| sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
| kl++; |
kl++; |
|
Line 7796 set ter svg size 640, 480\nunset log y\n
|
Line 8776 set ter svg size 640, 480\nunset log y\n
|
| if(prevbcast==1){ |
if(prevbcast==1){ |
| /* Back projection from cross-sectional to stable (mixed) for each covariate */ |
/* Back projection from cross-sectional to stable (mixed) for each covariate */ |
| |
|
| for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ |
/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
k1=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| |
/* continue; */ |
| for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| fprintf(ficgp,"\n#\n#\n#Back projection of prevalence to stable (mixed) back prevalence: 'BPROJ_' files, covariatecombination#=%d originstate=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#Back projection of prevalence to stable (mixed) back prevalence: 'BPROJ_' files, covariatecombination#=%d originstate=%d",k1, cpt); |
| for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate *\\/ *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| } |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| } |
} |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
|
Line 7869 set ter svg size 640, 480\nunset log y\n
|
Line 8856 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp," u %d:(",ioffset); |
fprintf(ficgp," u %d:(",ioffset); |
| kl=0; |
kl=0; |
| strcpy(gplotcondition,"("); |
strcpy(gplotcondition,"("); |
| for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ |
for (k=1; k<=cptcovs; k++){ /* For each covariate k of the resultline, get corresponding value lv for combination k1 */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ |
if(Dummy[modelresult[nres][k]]==0){ /* To be verified */ |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate writing the chain of conditions *\/ */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */ |
lv=Tvresult[nres][k]; |
| kl++; |
vlv=TinvDoQresult[nres][Tvresult[nres][k]]; |
| sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); |
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
| kl++; |
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
| if(k <cptcoveff && cptcoveff>1) |
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
| sprintf(gplotcondition+strlen(gplotcondition)," && "); |
/* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] *\/ */ |
| |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| |
kl++; |
| |
/* sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); */ |
| |
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%lg " ,kl,Tvresult[nres][k], kl+1,TinvDoQresult[nres][Tvresult[nres][k]]); |
| |
kl++; |
| |
if(k <cptcovs && cptcovs>1) |
| |
sprintf(gplotcondition+strlen(gplotcondition)," && "); |
| |
} |
| } |
} |
| strcpy(gplotcondition+strlen(gplotcondition),")"); |
strcpy(gplotcondition+strlen(gplotcondition),")"); |
| /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
/* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ |
|
Line 7944 set ter svg size 640, 480\nunset log y\n
|
Line 8939 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp,"#\n"); |
fprintf(ficgp,"#\n"); |
| for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ |
for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ |
| fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n"); |
fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n"); |
| fprintf(ficgp,"#model=%s \n",model); |
fprintf(ficgp,"#model=1+age+%s \n",model); |
| fprintf(ficgp,"# Type of graphic ng=%d\n",ng); |
fprintf(ficgp,"# Type of graphic ng=%d\n",ng); |
| fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */ |
fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */ |
| for(k1=1; k1 <=m; k1++) /* For each combination of covariate */ |
/* for(k1=1; k1 <=m; k1++) /\* For each combination of covariate *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(m != 1 && TKresult[nres]!= k1) |
/* k1=nres; */ |
| continue; |
k1=TKresult[nres]; |
| fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1); |
if(TKresult[nres]==0) k1=1; /* To be checked for noresult */ |
| |
fprintf(ficgp,"\n\n# Resultline k1=%d ",k1); |
| strcpy(gplotlabel,"("); |
strcpy(gplotlabel,"("); |
| /*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/ |
/*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/ |
| for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ |
for (k=1; k<=cptcovs; k++){ /**< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) */ |
| lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ |
/* for each resultline nres, and position k, Tvresult[nres][k] gives the name of the variable and |
| /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
TinvDoQresult[nres][Tvresult[nres][k]] gives its value double or integer) */ |
| /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]); |
| vlv= nbcode[Tvaraff[k]][lv]; |
} |
| fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); |
/* if(m != 1 && TKresult[nres]!= k1) */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); |
/* continue; */ |
| } |
/* fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1); */ |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
/* strcpy(gplotlabel,"("); */ |
| fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* /\*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*\/ */ |
| sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value *\/ */ |
| } |
/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate *\\/ *\/ */ |
| |
/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k *\/ */ |
| |
/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 *\/ */ |
| |
/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 *\/ */ |
| |
/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 *\/ */ |
| |
/* /\* vlv= nbcode[Tvaraff[k]][lv]; *\/ */ |
| |
/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */ |
| |
/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */ |
| |
/* } */ |
| |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */ |
| |
/* } */ |
| strcpy(gplotlabel+strlen(gplotlabel),")"); |
strcpy(gplotlabel+strlen(gplotlabel),")"); |
| fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
| fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres); |
|
Line 8016 set ter svg size 640, 480\nunset log y\n
|
Line 9025 set ter svg size 640, 480\nunset log y\n
|
| /* for(j=3; j <=ncovmodel-nagesqr; j++) { */ |
/* for(j=3; j <=ncovmodel-nagesqr; j++) { */ |
| for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */ |
for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */ |
| /* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */ |
/* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */ |
| if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ |
switch(Typevar[j]){ |
| if(j==Tage[ij]) { /* Product by age To be looked at!!*/ |
case 1: |
| if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ |
if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ |
| if(DummyV[j]==0){ |
if(j==Tage[ij]) { /* Product by age To be looked at!!*//* Bug valgrind */ |
| fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; |
if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ |
| }else{ /* quantitative */ |
if(DummyV[j]==0){/* Bug valgrind */ |
| fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */ |
fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; |
| /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
}else{ /* quantitative */ |
| |
fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */ |
| |
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
| |
} |
| |
ij++; |
| } |
} |
| ij++; |
|
| } |
} |
| } |
} |
| }else if(cptcovprod >0){ |
break; |
| if(j==Tprod[ijp]) { /* */ |
case 2: |
| /* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ |
if(cptcovprod >0){ |
| if(ijp <=cptcovprod) { /* Product */ |
if(j==Tprod[ijp]) { /* */ |
| if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */ |
/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ |
| if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */ |
if(ijp <=cptcovprod) { /* Product */ |
| /* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */ |
if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */ |
| fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); |
if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */ |
| }else{ /* Vn is dummy and Vm is quanti */ |
/* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */ |
| /* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */ |
fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); |
| fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
}else{ /* Vn is dummy and Vm is quanti */ |
| } |
/* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */ |
| }else{ /* Vn*Vm Vn is quanti */ |
fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
| if(DummyV[Tvard[ijp][2]]==0){ |
} |
| fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); |
}else{ /* Vn*Vm Vn is quanti */ |
| }else{ /* Both quanti */ |
if(DummyV[Tvard[ijp][2]]==0){ |
| fprintf(ficgp,"+p%d*%f*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); |
| |
}else{ /* Both quanti */ |
| |
fprintf(ficgp,"+p%d*%f*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
| |
} |
| } |
} |
| |
ijp++; |
| } |
} |
| ijp++; |
} /* end Tprod */ |
| } |
} |
| } /* end Tprod */ |
break; |
| } else{ /* simple covariate */ |
case 0: |
| |
/* simple covariate */ |
| /* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ |
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ |
| if(Dummy[j]==0){ |
if(Dummy[j]==0){ |
| fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /* */ |
fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /* */ |
|
Line 8058 set ter svg size 640, 480\nunset log y\n
|
Line 9075 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* */ |
fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* */ |
| /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
| } |
} |
| } /* end simple */ |
/* end simple */ |
| |
break; |
| |
default: |
| |
break; |
| |
} /* end switch */ |
| } /* end j */ |
} /* end j */ |
| }else{ |
}else{ /* k=k2 */ |
| i=i-ncovmodel; |
if(ng !=1 ){ /* For logit formula of log p11 is more difficult to get */ |
| if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ |
fprintf(ficgp," (1.");i=i-ncovmodel; |
| fprintf(ficgp," (1."); |
}else |
| |
i=i-ncovmodel; |
| } |
} |
| |
|
| if(ng != 1){ |
if(ng != 1){ |
|
Line 8076 set ter svg size 640, 480\nunset log y\n
|
Line 9098 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1,k3+(cpt-1)*ncovmodel+1+nagesqr); |
fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1,k3+(cpt-1)*ncovmodel+1+nagesqr); |
| |
|
| ij=1; |
ij=1; |
| for(j=3; j <=ncovmodel-nagesqr; j++){ |
ijp=1; |
| if(cptcovage >0){ |
/* for(j=3; j <=ncovmodel-nagesqr; j++){ */ |
| if((j-2)==Tage[ij]) { /* Bug valgrind */ |
for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */ |
| if(ij <=cptcovage) { /* Bug valgrind */ |
switch(Typevar[j]){ |
| fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]); |
case 1: |
| /* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
if(cptcovage >0){ |
| ij++; |
if(j==Tage[ij]) { /* Bug valgrind */ |
| } |
if(ij <=cptcovage) { /* Bug valgrind */ |
| } |
if(DummyV[j]==0){/* Bug valgrind */ |
| }else |
/* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]); */ |
| fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/* Valgrind bug nbcode */ |
/* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,nbcode[Tvar[j]][codtabm(k1,j)]); */ |
| |
fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvar[j]]); |
| |
/* fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; */ |
| |
/* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
| |
}else{ /* quantitative */ |
| |
/* fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* Tqinvresult in decoderesult *\/ */ |
| |
fprintf(ficgp,"+p%d*%f*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */ |
| |
/* fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* Tqinvresult in decoderesult *\/ */ |
| |
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
| |
} |
| |
ij++; |
| |
} |
| |
} |
| |
} |
| |
break; |
| |
case 2: |
| |
if(cptcovprod >0){ |
| |
if(j==Tprod[ijp]) { /* */ |
| |
/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ |
| |
if(ijp <=cptcovprod) { /* Product */ |
| |
if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */ |
| |
if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */ |
| |
/* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */ |
| |
fprintf(ficgp,"+p%d*%d*%d",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); |
| |
/* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); */ |
| |
}else{ /* Vn is dummy and Vm is quanti */ |
| |
/* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */ |
| |
fprintf(ficgp,"+p%d*%d*%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
| |
/* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); */ |
| |
} |
| |
}else{ /* Vn*Vm Vn is quanti */ |
| |
if(DummyV[Tvard[ijp][2]]==0){ |
| |
fprintf(ficgp,"+p%d*%d*%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); |
| |
/* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); */ |
| |
}else{ /* Both quanti */ |
| |
fprintf(ficgp,"+p%d*%f*%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); |
| |
/* fprintf(ficgp,"+p%d*%f*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); */ |
| |
} |
| |
} |
| |
ijp++; |
| |
} |
| |
} /* end Tprod */ |
| |
} /* end if */ |
| |
break; |
| |
case 0: |
| |
/* simple covariate */ |
| |
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ |
| |
if(Dummy[j]==0){ |
| |
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /\* *\/ */ |
| |
fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvar[j]]); /* */ |
| |
/* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /\* *\/ */ |
| |
}else{ /* quantitative */ |
| |
fprintf(ficgp,"+p%d*%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvar[j]]); /* */ |
| |
/* fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* *\/ */ |
| |
/* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ |
| |
} |
| |
/* end simple */ |
| |
/* fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/\* Valgrind bug nbcode *\/ */ |
| |
break; |
| |
default: |
| |
break; |
| |
} /* end switch */ |
| } |
} |
| fprintf(ficgp,")"); |
fprintf(ficgp,")"); |
| } |
} |
|
Line 8095 set ter svg size 640, 480\nunset log y\n
|
Line 9178 set ter svg size 640, 480\nunset log y\n
|
| fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"p%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"p%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
| else /* ng= 3 */ |
else /* ng= 3 */ |
| fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"i%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"i%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
| }else{ /* end ng <> 1 */ |
}else{ /* end ng <> 1 */ |
| if( k !=k2) /* logit p11 is hard to draw */ |
if( k !=k2) /* logit p11 is hard to draw */ |
| fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"logit(p%d%d)\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"logit(p%d%d)\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); |
| } |
} |
|
Line 8108 set ter svg size 640, 480\nunset log y\n
|
Line 9191 set ter svg size 640, 480\nunset log y\n
|
| } /* end k2 */ |
} /* end k2 */ |
| /* fprintf(ficgp,"\n set out; unset label;set key default;\n"); */ |
/* fprintf(ficgp,"\n set out; unset label;set key default;\n"); */ |
| fprintf(ficgp,"\n set out; unset title;set key default;\n"); |
fprintf(ficgp,"\n set out; unset title;set key default;\n"); |
| } /* end k1 */ |
} /* end resultline */ |
| } /* end ng */ |
} /* end ng */ |
| /* avoid: */ |
/* avoid: */ |
| fflush(ficgp); |
fflush(ficgp); |
|
Line 8431 void prevforecast(char fileres[], double
|
Line 9514 void prevforecast(char fileres[], double
|
| |
|
| /* if (h==(int)(YEARM*yearp)){ */ |
/* if (h==(int)(YEARM*yearp)){ */ |
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
| for(k=1; k<=i1;k++){ |
for(k=1; k<=i1;k++){ /* We want to find the combination k corresponding to the values of the dummies given in this resut line (to be cleaned one day) */ |
| if(i1 != 1 && TKresult[nres]!= k) |
if(i1 != 1 && TKresult[nres]!= k) |
| continue; |
continue; |
| if(invalidvarcomb[k]){ |
if(invalidvarcomb[k]){ |
|
Line 8440 void prevforecast(char fileres[], double
|
Line 9523 void prevforecast(char fileres[], double
|
| } |
} |
| fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); */ |
| |
fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
| } |
} |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
| fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
|
Line 8470 void prevforecast(char fileres[], double
|
Line 9554 void prevforecast(char fileres[], double
|
| } |
} |
| fprintf(ficresf,"\n"); |
fprintf(ficresf,"\n"); |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Tvaraff not correct *\/ */ |
| |
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /* TnsdVar[Tvaraff] correct */ |
| fprintf(ficresf,"%.f %.f ",anprojd+yearp,agec+h*hstepm/YEARM*stepm); |
fprintf(ficresf,"%.f %.f ",anprojd+yearp,agec+h*hstepm/YEARM*stepm); |
| |
|
| for(j=1; j<=nlstate+ndeath;j++) { |
for(j=1; j<=nlstate+ndeath;j++) { |
|
Line 8580 void prevforecast(char fileres[], double
|
Line 9665 void prevforecast(char fileres[], double
|
| } |
} |
| fprintf(ficresfb,"\n#****** hbijx=probability over h years, hb.jx is weighted by observed prev \n#"); |
fprintf(ficresfb,"\n#****** hbijx=probability over h years, hb.jx is weighted by observed prev \n#"); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
| } |
} |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
| fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
|
Line 8616 void prevforecast(char fileres[], double
|
Line 9701 void prevforecast(char fileres[], double
|
| } |
} |
| fprintf(ficresfb,"\n"); |
fprintf(ficresfb,"\n"); |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
| fprintf(ficresfb,"%.f %.f ",anbackd+yearp,agec-h*hstepm/YEARM*stepm); |
fprintf(ficresfb,"%.f %.f ",anbackd+yearp,agec-h*hstepm/YEARM*stepm); |
| for(i=1; i<=nlstate+ndeath;i++) { |
for(i=1; i<=nlstate+ndeath;i++) { |
| ppij=0.;ppi=0.; |
ppij=0.;ppi=0.; |
|
Line 8675 void prevforecast(char fileres[], double
|
Line 9760 void prevforecast(char fileres[], double
|
| i1=pow(2,cptcoveff); |
i1=pow(2,cptcoveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ |
k=TKresult[nres]; |
| |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| |
/* for(k=1; k<=i1;k++){ /\* We find the combination equivalent to result line values of dummies *\/ */ |
| if(i1 != 1 && TKresult[nres]!= k) |
if(i1 != 1 && TKresult[nres]!= k) |
| continue; |
continue; |
| fprintf(ficresvpl,"\n#****** "); |
fprintf(ficresvpl,"\n#****** "); |
| printf("\n#****** "); |
printf("\n#****** "); |
| fprintf(ficlog,"\n#****** "); |
fprintf(ficlog,"\n#****** "); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcovs;j++) { |
| fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresvpl,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf("V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
} |
| fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| } |
/* fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* } */ |
| fprintf(ficresvpl,"******\n"); |
fprintf(ficresvpl,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
|
Line 8732 void prevforecast(char fileres[], double
|
Line 9821 void prevforecast(char fileres[], double
|
| i1=pow(2,cptcoveff); |
i1=pow(2,cptcoveff); |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ |
k=TKresult[nres]; |
| if(i1 != 1 && TKresult[nres]!= k) |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| continue; |
/* for(k=1; k<=i1;k++){ */ |
| |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| |
/* continue; */ |
| fprintf(ficresvbl,"\n#****** "); |
fprintf(ficresvbl,"\n#****** "); |
| printf("\n#****** "); |
printf("\n#****** "); |
| fprintf(ficlog,"\n#****** "); |
fprintf(ficlog,"\n#****** "); |
| for(j=1;j<=cptcoveff;j++) { |
for (j=1; j<= cptcovs; j++){ /* For each selected (single) quantitative value */ |
| fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
| fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresvbl," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
| printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]); |
| } |
/* for(j=1;j<=cptcoveff;j++) { */ |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
/* fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* } */ |
| |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| } |
} |
| fprintf(ficresvbl,"******\n"); |
fprintf(ficresvbl,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
|
Line 9209 int readdata(char datafile[], int firsto
|
Line 10304 int readdata(char datafile[], int firsto
|
| |
|
| DummyV=ivector(1,NCOVMAX); /* 1 to 3 */ |
DummyV=ivector(1,NCOVMAX); /* 1 to 3 */ |
| FixedV=ivector(1,NCOVMAX); /* 1 to 3 */ |
FixedV=ivector(1,NCOVMAX); /* 1 to 3 */ |
| |
for(v=1;v<NCOVMAX;v++){ |
| |
DummyV[v]=0; |
| |
FixedV[v]=0; |
| |
} |
| |
|
| for(v=1; v <=ncovcol;v++){ |
for(v=1; v <=ncovcol;v++){ |
| DummyV[v]=0; |
DummyV[v]=0; |
|
Line 9230 int readdata(char datafile[], int firsto
|
Line 10329 int readdata(char datafile[], int firsto
|
| printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
| fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
| } |
} |
| |
|
| |
ncovcolt=ncovcol+nqv+ntv+nqtv; /* total of covariates in the data, not in the model equation */ |
| |
|
| if((fic=fopen(datafile,"r"))==NULL) { |
if((fic=fopen(datafile,"r"))==NULL) { |
| printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
| fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; |
|
Line 9252 int readdata(char datafile[], int firsto
|
Line 10353 int readdata(char datafile[], int firsto
|
| else if( line[0] == (char)0xFF && line[1] == (char)0xFE) |
else if( line[0] == (char)0xFF && line[1] == (char)0xFE) |
| { |
{ |
| noffset=noffset+2; |
noffset=noffset+2; |
| printf("# Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);fflush(stdout); |
printf("# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);fflush(stdout); |
| fprintf(ficlog,"# Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile); |
fprintf(ficlog,"# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile); |
| fflush(ficlog); return 1; |
fflush(ficlog); return 1; |
| } |
} |
| else if( line[0] == 0 && line[1] == 0) |
else if( line[0] == 0 && line[1] == 0) |
| { |
{ |
| if( line[2] == (char)0xFE && line[3] == (char)0xFF){ |
if( line[2] == (char)0xFE && line[3] == (char)0xFF){ |
| noffset=noffset+4; |
noffset=noffset+4; |
| printf("# Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);fflush(stdout); |
printf("# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);fflush(stdout); |
| fprintf(ficlog,"# Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile); |
fprintf(ficlog,"# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile); |
| fflush(ficlog); return 1; |
fflush(ficlog); return 1; |
| } |
} |
| } else{ |
} else{ |
|
Line 9308 int readdata(char datafile[], int firsto
|
Line 10409 int readdata(char datafile[], int firsto
|
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ |
cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ |
| cotvar[j][ntv+iv][i]=-1; /* For performance reasons */ |
cotvar[j][ncovcol+nqv+ntv+iv][i]=-1; /* For performance reasons */ |
| if(isalpha(strb[1])) { /* .m or .d Really Missing value */ |
if(isalpha(strb[1])) { /* .m or .d Really Missing value */ |
| printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j); |
printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j); |
| fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog); |
fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog); |
|
Line 9328 int readdata(char datafile[], int firsto
|
Line 10429 int readdata(char datafile[], int firsto
|
| return 1; |
return 1; |
| } |
} |
| cotqvar[j][iv][i]=dval; |
cotqvar[j][iv][i]=dval; |
| cotvar[j][ntv+iv][i]=dval; |
cotvar[j][ncovcol+nqv+ntv+iv][i]=dval; /* because cotvar starts now at first ntv */ |
| } |
} |
| strcpy(line,stra); |
strcpy(line,stra); |
| }/* end loop ntqv */ |
}/* end loop ntqv */ |
|
Line 9349 int readdata(char datafile[], int firsto
|
Line 10450 int readdata(char datafile[], int firsto
|
| } |
} |
| if(lval <-1 || lval >1){ |
if(lval <-1 || lval >1){ |
| printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate of wave %d (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j); |
Exiting.\n",lval,linei, i,line,iv,j); |
| fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ |
| Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ |
Should be a value of %d(nth) covariate of wave %d (0 should be the value for the reference and 1\n \ |
| for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ |
| For example, for multinomial values like 1, 2 and 3,\n \ |
For example, for multinomial values like 1, 2 and 3,\n \ |
| build V1=0 V2=0 for the reference value (1),\n \ |
build V1=0 V2=0 for the reference value (1),\n \ |
| V1=1 V2=0 for (2) \n \ |
V1=1 V2=0 for (2) \n \ |
| and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ |
| output of IMaCh is often meaningless.\n \ |
output of IMaCh is often meaningless.\n \ |
| Exiting.\n",lval,linei, i,line,j);fflush(ficlog); |
Exiting.\n",lval,linei, i,line,iv,j);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| cotvar[j][iv][i]=(double)(lval); |
cotvar[j][ncovcol+nqv+iv][i]=(double)(lval); |
| strcpy(line,stra); |
strcpy(line,stra); |
| }/* end loop ntv */ |
}/* end loop ntv */ |
| |
|
|
Line 9473 int readdata(char datafile[], int firsto
|
Line 10574 int readdata(char datafile[], int firsto
|
| cutv(stra, strb, line, ' '); |
cutv(stra, strb, line, ' '); |
| if(strb[0]=='.') { /* Missing value */ |
if(strb[0]=='.') { /* Missing value */ |
| lval=-1; |
lval=-1; |
| |
coqvar[iv][i]=NAN; |
| |
covar[ncovcol+iv][i]=NAN; /* including qvar in standard covar for performance reasons */ |
| }else{ |
}else{ |
| errno=0; |
errno=0; |
| /* what_kind_of_number(strb); */ |
/* what_kind_of_number(strb); */ |
|
Line 9566 void removefirstspace(char **stri){/*, c
|
Line 10669 void removefirstspace(char **stri){/*, c
|
| *stri=p2; |
*stri=p2; |
| } |
} |
| |
|
| int decoderesult ( char resultline[], int nres) |
int decoderesult( char resultline[], int nres) |
| /**< This routine decode one result line and returns the combination # of dummy covariates only **/ |
/**< This routine decode one result line and returns the combination # of dummy covariates only **/ |
| { |
{ |
| int j=0, k=0, k1=0, k2=0, k3=0, k4=0, match=0, k2q=0, k3q=0, k4q=0; |
int j=0, k=0, k1=0, k2=0, k3=0, k4=0, match=0, k2q=0, k3q=0, k4q=0; |
| char resultsav[MAXLINE]; |
char resultsav[MAXLINE]; |
| int resultmodel[MAXLINE]; |
/* int resultmodel[MAXLINE]; */ |
| int modelresult[MAXLINE]; |
/* int modelresult[MAXLINE]; */ |
| char stra[80], strb[80], strc[80], strd[80],stre[80]; |
char stra[80], strb[80], strc[80], strd[80],stre[80]; |
| |
|
| removefirstspace(&resultline); |
removefirstspace(&resultline); |
| printf("decoderesult:%s\n",resultline); |
printf("decoderesult:%s\n",resultline); |
| |
|
| if (strstr(resultline,"v") !=0){ |
strcpy(resultsav,resultline); |
| printf("Error. 'v' must be in upper case 'V' result: %s ",resultline); |
/* printf("Decoderesult resultsav=\"%s\" resultline=\"%s\"\n", resultsav, resultline); */ |
| fprintf(ficlog,"Error. 'v' must be in upper case result: %s ",resultline);fflush(ficlog); |
|
| return 1; |
|
| } |
|
| trimbb(resultsav, resultline); |
|
| if (strlen(resultsav) >1){ |
if (strlen(resultsav) >1){ |
| j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */ |
j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' in this resultline */ |
| } |
} |
| if(j == 0){ /* Resultline but no = */ |
if(j == 0){ /* Resultline but no = */ |
| TKresult[nres]=0; /* Combination for the nresult and the model */ |
TKresult[nres]=0; /* Combination for the nresult and the model */ |
| return (0); |
return (0); |
| } |
} |
| |
|
| if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */ |
if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */ |
| printf("ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); |
printf("ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, %s.\n",j, cptcovs, model); |
| fprintf(ficlog,"ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); |
fprintf(ficlog,"ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, %s.\n",j, cptcovs, model); |
| |
/* return 1;*/ |
| } |
} |
| for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */ |
for(k=1; k<=j;k++){ /* Loop on any covariate of the RESULT LINE */ |
| if(nbocc(resultsav,'=') >1){ |
if(nbocc(resultsav,'=') >1){ |
| cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' |
cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' (stra is the rest of the resultline to be analyzed in the next loop *//* resultsav= "V4=1 V5=25.1 V3=0" stra= "V5=25.1 V3=0" strb= "V4=1" */ |
| resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */ |
/* If resultsav= "V4= 1 V5=25.1 V3=0" with a blank then strb="V4=" and stra="1 V5=25.1 V3=0" */ |
| cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ |
cutl(strc,strd,strb,'='); /* strb:"V4=1" strc="1" strd="V4" */ |
| |
/* If a blank, then strc="V4=" and strd='\0' */ |
| |
if(strc[0]=='\0'){ |
| |
printf("Error in resultline, probably a blank after the \"%s\", \"result:%s\", stra=\"%s\" resultsav=\"%s\"\n",strb,resultline, stra, resultsav); |
| |
fprintf(ficlog,"Error in resultline, probably a blank after the \"V%s=\", resultline=%s\n",strb,resultline); |
| |
return 1; |
| |
} |
| }else |
}else |
| cutl(strc,strd,resultsav,'='); |
cutl(strc,strd,resultsav,'='); |
| Tvalsel[k]=atof(strc); /* 1 */ |
Tvalsel[k]=atof(strc); /* 1 */ /* Tvalsel of k is the float value of the kth covariate appearing in this result line */ |
| |
|
| cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */; |
cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */; |
| Tvarsel[k]=atoi(strc); |
Tvarsel[k]=atoi(strc); /* 4 */ /* Tvarsel is the id of the kth covariate in the result line Tvarsel[1] in "V4=1.." is 4.*/ |
| /* Typevarsel[k]=1; /\* 1 for age product *\/ */ |
/* Typevarsel[k]=1; /\* 1 for age product *\/ */ |
| /* cptcovsel++; */ |
/* cptcovsel++; */ |
| if (nbocc(stra,'=') >0) |
if (nbocc(stra,'=') >0) |
| strcpy(resultsav,stra); /* and analyzes it */ |
strcpy(resultsav,stra); /* and analyzes it */ |
| } |
} |
| /* Checking for missing or useless values in comparison of current model needs */ |
/* Checking for missing or useless values in comparison of current model needs */ |
| for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* Feeds resultmodel[nres][k1]=k2 for k1th product covariate with age in the model equation fed by the index k2 of the resutline*/ |
| |
for(k1=1; k1<= cptcovt ;k1++){ /* Loop on MODEL LINE V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| if(Typevar[k1]==0){ /* Single covariate in model */ |
if(Typevar[k1]==0){ /* Single covariate in model */ |
| |
/* 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ |
| match=0; |
match=0; |
| for(k2=1; k2 <=j;k2++){/* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
| if(Tvar[k1]==Tvarsel[k2]) {/* Tvar[1]=5 == Tvarsel[2]=5 */ |
if(Tvar[k1]==Tvarsel[k2]) {/* Tvar is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
| modelresult[k2]=k1;/* modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */ |
modelresult[nres][k2]=k1;/* modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */ |
| match=1; |
match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
| break; |
break; |
| } |
} |
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
printf("Error in result line (Dummy single): V%d is missing in result: %s according to model=1+age+%s. Tvar[k1=%d]=%d is different from Tvarsel[k2=%d]=%d.\n",Tvar[k1], resultline, model,k1, Tvar[k1], k2, Tvarsel[k2]); |
| |
fprintf(ficlog,"Error in result line (Dummy single): V%d is missing in result: %s according to model=1+age+%s\n",Tvar[k1], resultline, model); |
| |
return 1; |
| } |
} |
| } |
}else if(Typevar[k1]==1){ /* Product with age We want to get the position k2 in the resultline of the product k1 in the model line*/ |
| } |
/* We feed resultmodel[k1]=k2; */ |
| |
match=0; |
| |
for(k2=1; k2 <=j;k2++){/* Loop on resultline. jth occurence of = signs in the result line. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
| |
if(Tvar[k1]==Tvarsel[k2]) {/* Tvar is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
| |
modelresult[nres][k2]=k1;/* we found a Vn=1 corrresponding to Vn*age in the model modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */ |
| |
resultmodel[nres][k1]=k2; /* Added here */ |
| |
/* printf("Decoderesult first modelresult[k2=%d]=%d (k1) V%d*AGE\n",k2,k1,Tvar[k1]); */ |
| |
match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
| |
break; |
| |
} |
| |
} |
| |
if(match == 0){ |
| |
printf("Error in result line (Product with age): V%d is missing in result: %s according to model=1+age+%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
| |
fprintf(ficlog,"Error in result line (Product with age): V%d is missing in result: %s according to model=1+age+%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]); |
| |
return 1; |
| |
} |
| |
}else if(Typevar[k1]==2){ /* Product No age We want to get the position in the resultline of the product in the model line*/ |
| |
/* resultmodel[nres][of such a Vn * Vm product k1] is not unique, so can't exist, we feed Tvard[k1][1] and [2] */ |
| |
match=0; |
| |
/* printf("Decoderesult very first Product Tvardk[k1=%d][1]=%d Tvardk[k1=%d][2]=%d V%d * V%d\n",k1,Tvardk[k1][1],k1,Tvardk[k1][2],Tvardk[k1][1],Tvardk[k1][2]); */ |
| |
for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
| |
if(Tvardk[k1][1]==Tvarsel[k2]) {/* Tvardk is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
| |
/* modelresult[k2]=k1; */ |
| |
/* printf("Decoderesult first Product modelresult[k2=%d]=%d (k1) V%d * \n",k2,k1,Tvarsel[k2]); */ |
| |
match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
| |
} |
| |
} |
| |
if(match == 0){ |
| |
printf("Error in result line (Product without age first variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][1], resultline, model); |
| |
fprintf(ficlog,"Error in result line (Product without age first variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][1], resultline, model); |
| |
return 1; |
| |
} |
| |
match=0; |
| |
for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
| |
if(Tvardk[k1][2]==Tvarsel[k2]) {/* Tvardk is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */ |
| |
/* modelresult[k2]=k1;*/ |
| |
/* printf("Decoderesult second Product modelresult[k2=%d]=%d (k1) * V%d \n ",k2,k1,Tvarsel[k2]); */ |
| |
match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */ |
| |
break; |
| |
} |
| |
} |
| |
if(match == 0){ |
| |
printf("Error in result line (Product without age second variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][2], resultline, model); |
| |
fprintf(ficlog,"Error in result line (Product without age second variable): V%d is missing in result : %s according to model=1+age+%s\n",Tvardk[k1][2], resultline, model); |
| |
return 1; |
| |
} |
| |
}/* End of testing */ |
| |
}/* End loop cptcovt */ |
| /* Checking for missing or useless values in comparison of current model needs */ |
/* Checking for missing or useless values in comparison of current model needs */ |
| for(k2=1; k2 <=j;k2++){ /* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
/* Feeds resultmodel[nres][k1]=k2 for single covariate (k1) in the model equation */ |
| |
for(k2=1; k2 <=j;k2++){ /* j or cptcovs is the number of single covariates used either in the model line as well as in the result line (dummy or quantitative) |
| |
* Loop on resultline variables: result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
| match=0; |
match=0; |
| for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
for(k1=1; k1<= cptcovt ;k1++){ /* loop on model: model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| if(Typevar[k1]==0){ /* Single */ |
if(Typevar[k1]==0){ /* Single only */ |
| if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4 */ |
if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4 */ |
| resultmodel[k1]=k2; /* resultmodel[2]=1 resultmodel[1]=2 resultmodel[3]=3 resultmodel[6]=4 resultmodel[9]=5 */ |
resultmodel[nres][k1]=k2; /* k1th position in the model equation corresponds to k2th position in the result line. resultmodel[2]=1 resultmodel[1]=2 resultmodel[3]=3 resultmodel[6]=4 resultmodel[9]=5 */ |
| |
modelresult[nres][k2]=k1; /* k1th position in the model equation corresponds to k2th position in the result line. modelresult[1]=2 modelresult[2]=1 modelresult[3]=3 remodelresult[4]=6 modelresult[5]=9 */ |
| ++match; |
++match; |
| } |
} |
| } |
} |
| } |
} |
| if(match == 0){ |
if(match == 0){ |
| printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); |
printf("Error in result line: variable V%d is missing in model; result: %s, model=1+age+%s\n",Tvarsel[k2], resultline, model); |
| |
fprintf(ficlog,"Error in result line: variable V%d is missing in model; result: %s, model=1+age+%s\n",Tvarsel[k2], resultline, model); |
| |
return 1; |
| }else if(match > 1){ |
}else if(match > 1){ |
| printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); |
printf("Error in result line: %d doubled; result: %s, model=1+age+%s\n",k2, resultline, model); |
| |
fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=1+age+%s\n",k2, resultline, model); |
| |
return 1; |
| } |
} |
| } |
} |
| |
/* cptcovres=j /\* Number of variables in the resultline is equal to cptcovs and thus useless *\/ */ |
| /* We need to deduce which combination number is chosen and save quantitative values */ |
/* We need to deduce which combination number is chosen and save quantitative values */ |
| /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
/* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| /* result line V4=1 V5=25.1 V3=0 V2=8 V1=1 */ |
/* nres=1st result line: V4=1 V5=25.1 V3=0 V2=8 V1=1 */ |
| /* should give a combination of dummy V4=1, V3=0, V1=1 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 5 + (1offset) = 6*/ |
/* should correspond to the combination 6 of dummy: V4=1, V3=0, V1=1 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 1*1 + 0*2 + 1*4 = 5 + (1offset) = 6*/ |
| /* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
/* nres=2nd result line: V4=1 V5=24.1 V3=1 V2=8 V1=0 */ |
| /* should give a combination of dummy V4=1, V3=1, V1=0 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 3 + (1offset) = 4*/ |
/* should give a combination of dummy V4=1, V3=1, V1=0 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 3 + (1offset) = 4*/ |
| /* 1 0 0 0 */ |
/* 1 0 0 0 */ |
| /* 2 1 0 0 */ |
/* 2 1 0 0 */ |
| /* 3 0 1 0 */ |
/* 3 0 1 0 */ |
| /* 4 1 1 0 */ /* V4=1, V3=1, V1=0 */ |
/* 4 1 1 0 */ /* V4=1, V3=1, V1=0 (nres=2)*/ |
| /* 5 0 0 1 */ |
/* 5 0 0 1 */ |
| /* 6 1 0 1 */ /* V4=1, V3=0, V1=1 */ |
/* 6 1 0 1 */ /* V4=1, V3=0, V1=1 (nres=1)*/ |
| /* 7 0 1 1 */ |
/* 7 0 1 1 */ |
| /* 8 1 1 1 */ |
/* 8 1 1 1 */ |
| /* V(Tvresult)=Tresult V4=1 V3=0 V1=1 Tresult[nres=1][2]=0 */ |
/* V(Tvresult)=Tresult V4=1 V3=0 V1=1 Tresult[nres=1][2]=0 */ |
| /* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */ |
/* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */ |
| /* V5*age V5 known which value for nres? */ |
/* V5*age V5 known which value for nres? */ |
| /* Tqinvresult[2]=8 Tqinvresult[1]=25.1 */ |
/* Tqinvresult[2]=8 Tqinvresult[1]=25.1 */ |
| for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* model line */ |
for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* cptcovt number of covariates (excluding 1 and age or age*age) in the MODEL equation. |
| if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Single dummy */ |
* loop on position k1 in the MODEL LINE */ |
| k3= resultmodel[k1]; /* resultmodel[2(V4)] = 1=k3 */ |
/* k counting number of combination of single dummies in the equation model */ |
| k2=(int)Tvarsel[k3]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */ |
/* k4 counting single dummies in the equation model */ |
| k+=Tvalsel[k3]*pow(2,k4); /* Tvalsel[1]=1 */ |
/* k4q counting single quantitatives in the equation model */ |
| Tresult[nres][k4+1]=Tvalsel[k3];/* Tresult[nres][1]=1(V4=1) Tresult[nres][2]=0(V3=0) */ |
if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Dummy and Single, k1 is sorting according to MODEL, but k3 to resultline */ |
| Tvresult[nres][k4+1]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */ |
/* k4+1= (not always if quant in model) position in the resultline V(Tvarsel)=Tvalsel=Tresult[nres][pos](value); V(Tvresult[nres][pos] (variable): V(variable)=value) */ |
| |
/* modelresult[k3]=k1: k3th position in the result line corresponds to the k1 position in the model line (doesn't work with products)*/ |
| |
/* Value in the (current nres) resultline of the variable at the k1th position in the model equation resultmodel[nres][k1]= k3 */ |
| |
/* resultmodel[nres][k1]=k3: k1th position in the model correspond to the k3 position in the resultline */ |
| |
/* k3 is the position in the nres result line of the k1th variable of the model equation */ |
| |
/* Tvarsel[k3]: Name of the variable at the k3th position in the result line. */ |
| |
/* Tvalsel[k3]: Value of the variable at the k3th position in the result line. */ |
| |
/* Tresult[nres][result_position]= value of the dummy variable at the result_position in the nres resultline */ |
| |
/* Tvresult[nres][result_position]= name of the dummy variable at the result_position in the nres resultline */ |
| |
/* Tinvresult[nres][Name of a dummy variable]= value of the variable in the result line */ |
| |
/* TinvDoQresult[nres][Name of a Dummy or Q variable]= value of the variable in the result line */ |
| |
k3= resultmodel[nres][k1]; /* From position k1 in model get position k3 in result line */ |
| |
/* nres=1 k1=2 resultmodel[2(V4)] = 1=k3 ; k1=3 resultmodel[3(V3)] = 2=k3*/ |
| |
k2=(int)Tvarsel[k3]; /* from position k3 in resultline get name k2: nres=1 k1=2=>k3=1 Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 (V4); k1=3=>k3=2 Tvarsel[2]=3 (V3)*/ |
| |
k+=Tvalsel[k3]*pow(2,k4); /* nres=1 k1=2 Tvalsel[1]=1 (V4=1); k1=3 k3=2 Tvalsel[2]=0 (V3=0) */ |
| |
TinvDoQresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* TinvDoQresult[nres][Name]=Value; stores the value into the name of the variable. */ |
| |
/* Tinvresult[nres][4]=1 */ |
| |
/* Tresult[nres][k4+1]=Tvalsel[k3];/\* Tresult[nres=2][1]=1(V4=1) Tresult[nres=2][2]=0(V3=0) *\/ */ |
| |
Tresult[nres][k3]=Tvalsel[k3];/* Tresult[nres=2][1]=1(V4=1) Tresult[nres=2][2]=0(V3=0) */ |
| |
/* Tvresult[nres][k4+1]=(int)Tvarsel[k3];/\* Tvresult[nres][1]=4 Tvresult[nres][3]=1 *\/ */ |
| |
Tvresult[nres][k3]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */ |
| Tinvresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Tinvresult[nres][4]=1 */ |
Tinvresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Tinvresult[nres][4]=1 */ |
| printf("Decoderesult Dummy k=%d, V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k2, k3, (int)Tvalsel[k3], k4); |
precov[nres][k1]=Tvalsel[k3]; /* Value from resultline of the variable at the k1 position in the model */ |
| |
/* printf("Decoderesult Dummy k=%d, k1=%d precov[nres=%d][k1=%d]=%.f V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k1, nres, k1,precov[nres][k1], k2, k3, (int)Tvalsel[k3], k4); */ |
| k4++;; |
k4++;; |
| } else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Single quantitative */ |
}else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Quantitative and single */ |
| k3q= resultmodel[k1]; /* resultmodel[2] = 1=k3 */ |
/* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */ |
| k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */ |
/* Tvqresult[nres][result_position]= id of the variable at the result_position in the nres resultline */ |
| Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */ |
/* Tqinvresult[nres][Name of a quantitative variable]= value of the variable in the result line */ |
| Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */ |
k3q= resultmodel[nres][k1]; /* resultmodel[1(V5)] = 5 =k3q */ |
| |
k2q=(int)Tvarsel[k3q]; /* Name of variable at k3q th position in the resultline */ |
| |
/* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */ |
| |
/* Tqresult[nres][k4q+1]=Tvalsel[k3q]; /\* Tqresult[nres][1]=25.1 *\/ */ |
| |
/* Tvresult[nres][k4q+1]=(int)Tvarsel[k3q];/\* Tvresult[nres][1]=4 Tvresult[nres][3]=1 *\/ */ |
| |
/* Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /\* Tvqresult[nres][1]=5 *\/ */ |
| |
Tqresult[nres][k3q]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */ |
| |
Tvresult[nres][k3q]=(int)Tvarsel[k3q];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */ |
| |
Tvqresult[nres][k3q]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */ |
| Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
| printf("Decoderesult Quantitative nres=%d, V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); |
TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ |
| |
precov[nres][k1]=Tvalsel[k3q]; |
| |
/* printf("Decoderesult Quantitative nres=%d,precov[nres=%d][k1=%d]=%.f V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, nres, k1,precov[nres][k1], k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); */ |
| k4q++;; |
k4q++;; |
| |
}else if( Dummy[k1]==2 ){ /* For dummy with age product */ |
| |
/* Tvar[k1]; */ /* Age variable */ |
| |
/* Wrong we want the value of variable name Tvar[k1] */ |
| |
|
| |
k3= resultmodel[nres][k1]; /* nres=1 k1=2 resultmodel[2(V4)] = 1=k3 ; k1=3 resultmodel[3(V3)] = 2=k3*/ |
| |
k2=(int)Tvarsel[k3]; /* nres=1 k1=2=>k3=1 Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 (V4); k1=3=>k3=2 Tvarsel[2]=3 (V3)*/ |
| |
TinvDoQresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* TinvDoQresult[nres][4]=1 */ |
| |
precov[nres][k1]=Tvalsel[k3]; |
| |
/* printf("Decoderesult Dummy with age k=%d, k1=%d precov[nres=%d][k1=%d]=%.f Tvar[%d]=V%d k2=Tvarsel[%d]=%d Tvalsel[%d]=%d\n",k, k1, nres, k1,precov[nres][k1], k1, Tvar[k1], k3,(int)Tvarsel[k3], k3, (int)Tvalsel[k3]); */ |
| |
}else if( Dummy[k1]==3 ){ /* For quant with age product */ |
| |
k3q= resultmodel[nres][k1]; /* resultmodel[1(V5)] = 25.1=k3q */ |
| |
k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */ |
| |
TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* TinvDoQresult[nres][5]=25.1 */ |
| |
precov[nres][k1]=Tvalsel[k3q]; |
| |
/* printf("Decoderesult Quantitative with age nres=%d, k1=%d, precov[nres=%d][k1=%d]=%f Tvar[%d]=V%d V(k2q=%d)= Tvarsel[%d]=%d, Tvalsel[%d]=%f\n",nres, k1, nres, k1,precov[nres][k1], k1, Tvar[k1], k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); */ |
| |
}else if(Typevar[k1]==2 ){ /* For product quant or dummy (not with age) */ |
| |
precov[nres][k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]]; |
| |
/* printf("Decoderesult Quantitative or Dummy (not with age) nres=%d k1=%d precov[nres=%d][k1=%d]=%.f V%d(=%.f) * V%d(=%.f) \n",nres, k1, nres, k1,precov[nres][k1], Tvardk[k1][1], TinvDoQresult[nres][Tvardk[k1][1]], Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][2]]); */ |
| |
}else{ |
| |
printf("Error Decoderesult probably a product Dummy[%d]==%d && Typevar[%d]==%d\n", k1, Dummy[k1], k1, Typevar[k1]); |
| |
fprintf(ficlog,"Error Decoderesult probably a product Dummy[%d]==%d && Typevar[%d]==%d\n", k1, Dummy[k1], k1, Typevar[k1]); |
| } |
} |
| } |
} |
| |
|
| TKresult[nres]=++k; /* Combination for the nresult and the model */ |
TKresult[nres]=++k; /* Number of combinations of dummies for the nresult and the model =Tvalsel[k3]*pow(2,k4) + 1*/ |
| return (0); |
return (0); |
| } |
} |
| |
|
|
Line 9697 int decodemodel( char model[], int lasto
|
Line 10912 int decodemodel( char model[], int lasto
|
| * - cptcovn or number of covariates k of the models excluding age*products =6 and age*age |
* - cptcovn or number of covariates k of the models excluding age*products =6 and age*age |
| * - cptcovage number of covariates with age*products =2 |
* - cptcovage number of covariates with age*products =2 |
| * - cptcovs number of simple covariates |
* - cptcovs number of simple covariates |
| |
* ncovcolt=ncovcol+nqv+ntv+nqtv total of covariates in the data, not in the model equation |
| * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10 |
* - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10 |
| * which is a new column after the 9 (ncovcol) variables. |
* which is a new column after the 9 (ncovcol+nqv+ntv+nqtv) variables. |
| * - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual |
* - if k is a product Vn*Vm, covar[k][i] is filled with correct values for each individual |
| * - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage |
* - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage |
| * Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6. |
* Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6. |
| * - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 . |
* - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 . |
| */ |
*/ |
| |
/* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
| { |
{ |
| int i, j, k, ks, v; |
int i, j, k, ks, v; |
| int j1, k1, k2, k3, k4; |
int j1, k1, k2, k3, k4; |
|
Line 9720 int decodemodel( char model[], int lasto
|
Line 10937 int decodemodel( char model[], int lasto
|
| return 1; |
return 1; |
| } |
} |
| if (strstr(model,"v") !=0){ |
if (strstr(model,"v") !=0){ |
| printf("Error. 'v' must be in upper case 'V' model=%s ",model); |
printf("Error. 'v' must be in upper case 'V' model=1+age+%s ",model); |
| fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog); |
fprintf(ficlog,"Error. 'v' must be in upper case model=1+age+%s ",model);fflush(ficlog); |
| return 1; |
return 1; |
| } |
} |
| strcpy(modelsav,model); |
strcpy(modelsav,model); |
| if ((strpt=strstr(model,"age*age")) !=0){ |
if ((strpt=strstr(model,"age*age")) !=0){ |
| printf(" strpt=%s, model=%s\n",strpt, model); |
printf(" strpt=%s, model=1+age+%s\n",strpt, model); |
| if(strpt != model){ |
if(strpt != model){ |
| printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
printf("Error in model: 'model=1+age+%s'; 'age*age' should in first place before other covariates\n \ |
| 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
| corresponding column of parameters.\n",model); |
corresponding column of parameters.\n",model); |
| fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ |
fprintf(ficlog,"Error in model: 'model=1+age+%s'; 'age*age' should in first place before other covariates\n \ |
| 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ |
| corresponding column of parameters.\n",model); fflush(ficlog); |
corresponding column of parameters.\n",model); fflush(ficlog); |
| return 1; |
return 1; |
|
Line 9781 int decodemodel( char model[], int lasto
|
Line 10998 int decodemodel( char model[], int lasto
|
| * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 d1 d1 d2 d2 |
* Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8 d1 d1 d2 d2 |
| * k= 1 2 3 4 5 6 7 8 9 10 11 12 |
* k= 1 2 3 4 5 6 7 8 9 10 11 12 |
| * Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8 |
* Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8 |
| * p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} |
* p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} |
| * p Tprod[1]@2={ 6, 5} |
* p Tprod[1]@2={ 6, 5} |
| *p Tvard[1][1]@4= {7, 8, 5, 6} |
*p Tvard[1][1]@4= {7, 8, 5, 6} |
| * covar[k][i]= V2 V1 ? V3 V5*V6? V7*V8? ? V8 |
* covar[k][i]= V2 V1 ? V3 V5*V6? V7*V8? ? V8 |
| * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; |
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; |
| *How to reorganize? |
*How to reorganize? Tvars(orted) |
| * Model V1 + V2 + V3 + V8 + V5*V6 + V7*V8 + V3*age + V8*age |
* Model V1 + V2 + V3 + V8 + V5*V6 + V7*V8 + V3*age + V8*age |
| * Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} |
* Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6} |
| * {2, 1, 4, 8, 5, 6, 3, 7} |
* {2, 1, 4, 8, 5, 6, 3, 7} |
|
Line 9811 int decodemodel( char model[], int lasto
|
Line 11028 int decodemodel( char model[], int lasto
|
| Tvar[k]=0; Tprod[k]=0; Tposprod[k]=0; |
Tvar[k]=0; Tprod[k]=0; Tposprod[k]=0; |
| } |
} |
| cptcovage=0; |
cptcovage=0; |
| for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */ |
for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model line */ |
| cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' |
cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' cutl from left to right |
| modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ |
modelsav==V2+V1+V5*age+V4+V3*age strb=V3*age stra=V2+V1V5*age+V4 */ /* <model> "V5+V4+V3+V4*V3+V5*age+V1*age+V1" strb="V5" stra="V4+V3+V4*V3+V5*age+V1*age+V1" */ |
| if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */ |
if (nbocc(modelsav,'+')==0) |
| |
strcpy(strb,modelsav); /* and analyzes it */ |
| /* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/ |
| /*scanf("%d",i);*/ |
/*scanf("%d",i);*/ |
| if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */ |
if (strchr(strb,'*')) { /**< Model includes a product V2+V1+V5*age+ V4+V3*age strb=V3*age */ |
| cutl(strc,strd,strb,'*'); /**< strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ |
cutl(strc,strd,strb,'*'); /**< k=1 strd*strc Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */ |
| if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ |
if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */ |
| /* covar is not filled and then is empty */ |
/* covar is not filled and then is empty */ |
| cptcovprod--; |
cptcovprod--; |
| cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ |
cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ |
| Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ |
Tvar[k]=atoi(stre); /* V2+V1+V5*age+V4+V3*age Tvar[5]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ |
| Typevar[k]=1; /* 1 for age product */ |
Typevar[k]=1; /* 1 for age product */ |
| cptcovage++; /* Sums the number of covariates which include age as a product */ |
cptcovage++; /* Counts the number of covariates which include age as a product */ |
| Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
Tage[cptcovage]=k; /* V2+V1+V4+V3*age Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ |
| /*printf("stre=%s ", stre);*/ |
/*printf("stre=%s ", stre);*/ |
| } else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
} else if (strcmp(strd,"age")==0) { /* or age*Vn */ |
| cptcovprod--; |
cptcovprod--; |
|
Line 9840 int decodemodel( char model[], int lasto
|
Line 11058 int decodemodel( char model[], int lasto
|
| cptcovn++; |
cptcovn++; |
| cptcovprodnoage++;k1++; |
cptcovprodnoage++;k1++; |
| cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ |
| Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but |
Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* ncovcolt+k1; For model-covariate k tells which data-covariate to use but |
| because this model-covariate is a construction we invent a new column |
because this model-covariate is a construction we invent a new column |
| which is after existing variables ncovcol+nqv+ntv+nqtv + k1 |
which is after existing variables ncovcol+nqv+ntv+nqtv + k1 |
| If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 |
If already ncovcol=4 and model= V2 + V1 + V1*V4 + age*V3 + V3*V2 |
| Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ |
thus after V4 we invent V5 and V6 because age*V3 will be computed in 4 |
| Typevar[k]=2; /* 2 for double fixed dummy covariates */ |
Tvar[3=V1*V4]=4+1=5 Tvar[5=V3*V2]=4 + 2= 6, Tvar[4=age*V3]=3 etc */ |
| |
/* Please remark that the new variables are model dependent */ |
| |
/* If we have 4 variable but the model uses only 3, like in |
| |
* model= V1 + age*V1 + V2 + V3 + age*V2 + age*V3 + V1*V2 + V1*V3 |
| |
* k= 1 2 3 4 5 6 7 8 |
| |
* Tvar[k]=1 1 2 3 2 3 (5 6) (and not 4 5 because of V4 missing) |
| |
* Tage[kk] [1]= 2 [2]=5 [3]=6 kk=1 to cptcovage=3 |
| |
* Tvar[Tage[kk]][1]=2 [2]=2 [3]=3 |
| |
*/ |
| |
Typevar[k]=2; /* 2 for product */ |
| cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ |
| Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ |
| Tposprod[k]=k1; /* Tpsprod[3]=1, Tposprod[2]=5 */ |
Tposprod[k]=k1; /* Tposprod[3]=1, Tposprod[2]=5 */ |
| Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ |
| |
Tvardk[k][1] =atoi(strc); /* m 1 for V1*/ |
| Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ |
| |
Tvardk[k][2] =atoi(stre); /* n 4 for V4*/ |
| k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ |
| /* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ |
| /* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
/* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ |
| /*ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */ |
/*ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */ |
| /* 1 2 3 4 5 | Tvar[5+1)=1, Tvar[7]=2 */ |
/* 1 2 3 4 5 | Tvar[5+1)=1, Tvar[7]=2 */ |
| for (i=1; i<=lastobs;i++){ |
if( FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* If the product is a fixed covariate then we feed the new column with Vn*Vm */ |
| |
for (i=1; i<=lastobs;i++){/* For fixed product */ |
| /* Computes the new covariate which is a product of |
/* Computes the new covariate which is a product of |
| covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ |
| covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
covar[ncovcolt+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i]; |
| } |
} |
| |
} /*End of FixedV */ |
| } /* End age is not in the model */ |
} /* End age is not in the model */ |
| } /* End if model includes a product */ |
} /* End if model includes a product */ |
| else { /* no more sum */ |
else { /* not a product */ |
| /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ |
| /* scanf("%d",i);*/ |
/* scanf("%d",i);*/ |
| cutl(strd,strc,strb,'V'); |
cutl(strd,strc,strb,'V'); |
|
Line 9894 int decodemodel( char model[], int lasto
|
Line 11125 int decodemodel( char model[], int lasto
|
| model= V5 + V4 +V3 + V4*V3 + V5*age + V2 + V1*V2 + V1*age + V5*age, V1 is not used saving its place |
model= V5 + V4 +V3 + V4*V3 + V5*age + V2 + V1*V2 + V1*age + V5*age, V1 is not used saving its place |
| k = 1 2 3 4 5 6 7 8 9 |
k = 1 2 3 4 5 6 7 8 9 |
| Tvar[k]= 5 4 3 1+1+2+1+1=6 5 2 7 1 5 |
Tvar[k]= 5 4 3 1+1+2+1+1=6 5 2 7 1 5 |
| Typevar[k]= 0 0 0 2 1 0 2 1 1 |
Typevar[k]= 0 0 0 2 1 0 2 1 0 |
| Fixed[k] 1 1 1 1 3 0 0 or 2 2 3 |
Fixed[k] 1 1 1 1 3 0 0 or 2 2 3 |
| Dummy[k] 1 0 0 0 3 1 1 2 3 |
Dummy[k] 1 0 0 0 3 1 1 2 3 |
| Tmodelind[combination of covar]=k; |
Tmodelind[combination of covar]=k; |
|
Line 9903 int decodemodel( char model[], int lasto
|
Line 11134 int decodemodel( char model[], int lasto
|
| /* If Tvar[k] >ncovcol it is a product */ |
/* If Tvar[k] >ncovcol it is a product */ |
| /* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=Vn*Vm for product */ |
/* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=Vn*Vm for product */ |
| /* Computing effective variables, ie used by the model, that is from the cptcovt variables */ |
/* Computing effective variables, ie used by the model, that is from the cptcovt variables */ |
| printf("Model=%s\n\ |
printf("Model=1+age+%s\n\ |
| Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ |
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ |
| Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
| Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
| fprintf(ficlog,"Model=%s\n\ |
fprintf(ficlog,"Model=1+age+%s\n\ |
| Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ |
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ |
| Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
| Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
| for(k=-1;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;} |
for(k=-1;k<=NCOVMAX; k++){ Fixed[k]=0; Dummy[k]=0;} |
| for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ |
for(k=1;k<=NCOVMAX; k++){TvarFind[k]=0; TvarVind[k]=0;} |
| |
for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0, ncovvt=0;k<=cptcovt; k++){ /* or cptocvt */ |
| if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */ |
if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */ |
| Fixed[k]= 0; |
Fixed[k]= 0; |
| Dummy[k]= 0; |
Dummy[k]= 0; |
|
Line 9922 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11154 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
| TvarsD[nsd]=Tvar[k]; |
TvarsD[nsd]=Tvar[k]; |
| TvarsDind[nsd]=k; |
TvarsDind[nsd]=k; |
| |
TnsdVar[Tvar[k]]=nsd; |
| TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
| TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
| TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| }else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /* Product of fixed dummy (<=ncovcol) covariates */ |
/* }else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /\* Product of fixed dummy (<=ncovcol) covariates For a fixed product k is higher than ncovcol *\/ */ |
| |
}else if( Tposprod[k]>0 && Typevar[k]==2 && FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* Needs a fixed product Product of fixed dummy (<=ncovcol) covariates For a fixed product k is higher than ncovcol */ |
| Fixed[k]= 0; |
Fixed[k]= 0; |
| Dummy[k]= 0; |
Dummy[k]= 0; |
| ncoveff++; |
ncoveff++; |
| ncovf++; |
ncovf++; |
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
| TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
| |
/* TnsdVar[Tvar[k]]=nsd; */ /* To be done */ |
| TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
| TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
| TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
|
Line 9943 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11178 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
| modell[k].subtype= FQ; |
modell[k].subtype= FQ; |
| nsq++; |
nsq++; |
| TvarsQ[nsq]=Tvar[k]; |
TvarsQ[nsq]=Tvar[k]; /* Gives the variable name (extended to products) of first nsq simple quantitative covariates (fixed or time vary see below */ |
| TvarsQind[nsq]=k; |
TvarsQind[nsq]=k; /* Gives the position in the model equation of the first nsq simple quantitative covariates (fixed or time vary) */ |
| ncovf++; |
ncovf++; |
| TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
| TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
| TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
| TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ |
| }else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */ |
}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */ |
| |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
| |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
ncovvt++; |
| |
TvarVV[ncovvt]=Tvar[k]; /* TvarVV[1]=V3 (first time varying in the model equation */ |
| |
TvarVVind[ncovvt]=k; /* TvarVVind[1]=2 (second position in the model equation */ |
| |
|
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 0; |
Dummy[k]= 0; |
| ntveff++; /* Only simple time varying dummy variable */ |
ntveff++; /* Only simple time varying dummy variable */ |
|
Line 9959 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11201 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| nsd++; |
nsd++; |
| TvarsD[nsd]=Tvar[k]; |
TvarsD[nsd]=Tvar[k]; |
| TvarsDind[nsd]=k; |
TvarsDind[nsd]=k; |
| |
TnsdVar[Tvar[k]]=nsd; /* To be verified */ |
| ncovv++; /* Only simple time varying variables */ |
ncovv++; /* Only simple time varying variables */ |
| TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
| TvarVind[ncovv]=k; /* TvarVind[2]=2 TvarVind[3]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ |
TvarVind[ncovv]=k; /* TvarVind[2]=2 TvarVind[3]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ |
|
Line 9967 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11210 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); |
printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); |
| printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); |
printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); |
| }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ |
| |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
| |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
ncovvt++; |
| |
TvarVV[ncovvt]=Tvar[k]; /* TvarVV[1]=V3 (first time varying in the model equation */ |
| |
TvarVVind[ncovvt]=k; /* TvarVV[1]=V3 (first time varying in the model equation */ |
| |
|
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 1; |
Dummy[k]= 1; |
| nqtveff++; |
nqtveff++; |
|
Line 9974 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11224 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| modell[k].subtype= VQ; |
modell[k].subtype= VQ; |
| ncovv++; /* Only simple time varying variables */ |
ncovv++; /* Only simple time varying variables */ |
| nsq++; |
nsq++; |
| TvarsQ[nsq]=Tvar[k]; |
TvarsQ[nsq]=Tvar[k]; /* k=1 Tvar=5 nsq=1 TvarsQ[1]=5 */ /* Gives the variable name (extended to products) of first nsq simple quantitative covariates (fixed or time vary here) */ |
| TvarsQind[nsq]=k; |
TvarsQind[nsq]=k; /* For single quantitative covariate gives the model position of each single quantitative covariate *//* Gives the position in the model equation of the first nsq simple quantitative covariates (fixed or time vary) */ |
| TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
| TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ |
TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ |
| TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
| TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ |
| TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ |
TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ |
| /* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ |
/* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ |
| printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); |
/* printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); */ |
| printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); |
/* printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); */ |
| }else if (Typevar[k] == 1) { /* product with age */ |
}else if (Typevar[k] == 1) { /* product with age */ |
| ncova++; |
ncova++; |
| TvarA[ncova]=Tvar[k]; |
TvarA[ncova]=Tvar[k]; |
|
Line 10013 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11263 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| modell[k].subtype= APVQ; /* Product age * varying quantitative */ |
modell[k].subtype= APVQ; /* Product age * varying quantitative */ |
| /* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
/* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
| } |
} |
| }else if (Typevar[k] == 2) { /* product without age */ |
}else if (Typevar[k] == 2) { /* product Vn * Vm without age, V1+V3+age*V1+age*V3+V1*V3 looking at V1*V3, Typevar={0, 0, 1, 1, 2}, k=5, V1 is fixed, V3 is timevary, V5 is a product */ |
| k1=Tposprod[k]; |
/*# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 */ |
| if(Tvard[k1][1] <=ncovcol){ |
/* model V1+V3+age*V1+age*V3+V1*V3 */ |
| if(Tvard[k1][2] <=ncovcol){ |
/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */ |
| |
k1=Tposprod[k]; /* Position in the products of product k, Tposprod={0, 0, 0, 0, 1} k1=1 first product but second time varying because of V3 */ |
| |
ncovvt++; |
| |
TvarVV[ncovvt]=Tvard[k1][1]; /* TvarVV[2]=V1 (because TvarVV[1] was V3, first time varying covariates */ |
| |
TvarVVind[ncovvt]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1*V3 at position 5 */ |
| |
ncovvt++; |
| |
TvarVV[ncovvt]=Tvard[k1][2]; /* TvarVV[3]=V3 */ |
| |
TvarVVind[ncovvt]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1*V3 at position 5 */ |
| |
|
| |
|
| |
if(Tvard[k1][1] <=ncovcol){ /* Vn is dummy fixed, (Tvard[1][1]=V1), (Tvard[1][1]=V3 time varying) */ |
| |
if(Tvard[k1][2] <=ncovcol){ /* Vm is dummy fixed */ |
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 0; |
Dummy[k]= 0; |
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
|
Line 10024 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11285 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| ncovf++; /* Fixed variables without age */ |
ncovf++; /* Fixed variables without age */ |
| TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
| TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
| }else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ /* Vm is quanti fixed */ |
| Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 0; /* Fixed product */ |
| Dummy[k]= 1; |
Dummy[k]= 1; |
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
| modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
| ncovf++; /* Varying variables without age */ |
ncovf++; /* Varying variables without age */ |
| TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
| TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ /* Vm is a time varying dummy covariate */ |
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 0; |
Dummy[k]= 0; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
| modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
| ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
| TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; /* TvarV[1]=Tvar[5]=5 because there is a V4 */ |
| TvarVind[ncovv]=k; |
TvarVind[ncovv]=k;/* TvarVind[1]=5 */ |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is a time varying quantitative covariate */ |
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 1; |
Dummy[k]= 1; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
|
Line 10049 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11310 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
| TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
| } |
} |
| }else if(Tvard[k1][1] <=ncovcol+nqv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv){ /* Vn is fixed quanti */ |
| if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ /* Vm is fixed dummy */ |
| Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 0; /* Fixed product */ |
| Dummy[k]= 1; |
Dummy[k]= 1; |
| modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
| modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
| ncovf++; /* Fixed variables without age */ |
ncovf++; /* Fixed variables without age */ |
| TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
| TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ /* Vm is time varying */ |
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 1; |
Dummy[k]= 1; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
|
Line 10066 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11327 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
| TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
| TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
| }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is time varying quanti */ |
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 1; |
Dummy[k]= 1; |
| modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
|
Line 10078 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11339 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
| TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
| } |
} |
| }else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ /* Vn is time varying dummy */ |
| if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 1; |
Dummy[k]= 1; |
|
Line 10112 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11373 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
| TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
| } |
} |
| }else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ /* Vn is time varying quanti */ |
| if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
| Fixed[k]= 1; |
Fixed[k]= 1; |
| Dummy[k]= 1; |
Dummy[k]= 1; |
|
Line 10154 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11415 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
| fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
| } |
} |
| printf("Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); |
/* printf("Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); */ |
| printf(" modell[%d].maintype=%d, modell[%d].subtype=%d\n",k,modell[k].maintype,k,modell[k].subtype); |
/* printf(" modell[%d].maintype=%d, modell[%d].subtype=%d\n",k,modell[k].maintype,k,modell[k].subtype); */ |
| fprintf(ficlog,"Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); |
fprintf(ficlog,"Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); |
| } |
} |
| /* Searching for doublons in the model */ |
/* Searching for doublons in the model */ |
|
Line 10165 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 11426 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
| if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[k2] )){ |
if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[k2] )){ |
| if((Typevar[k1] == 0 || Typevar[k1] == 1)){ /* Simple or age product */ |
if((Typevar[k1] == 0 || Typevar[k1] == 1)){ /* Simple or age product */ |
| if(Tvar[k1]==Tvar[k2]){ |
if(Tvar[k1]==Tvar[k2]){ |
| printf("Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); |
printf("Error duplication in the model=1+age+%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); |
| fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); fflush(ficlog); |
fprintf(ficlog,"Error duplication in the model=1+age+%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); fflush(ficlog); |
| return(1); |
return(1); |
| } |
} |
| }else if (Typevar[k1] ==2){ |
}else if (Typevar[k1] ==2){ |
| k3=Tposprod[k1]; |
k3=Tposprod[k1]; |
| k4=Tposprod[k2]; |
k4=Tposprod[k2]; |
| if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) || ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){ |
if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) || ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){ |
| printf("Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
printf("Error duplication in the model=1+age+%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); |
| fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
fprintf(ficlog,"Error duplication in the model=1+age+%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog); |
| return(1); |
return(1); |
| } |
} |
| } |
} |
|
Line 10501 void syscompilerinfo(int logged)
|
Line 11762 void syscompilerinfo(int logged)
|
| |
|
| int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ |
int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ |
| /*--------------- Prevalence limit (forward period or forward stable prevalence) --------------*/ |
/*--------------- Prevalence limit (forward period or forward stable prevalence) --------------*/ |
| |
/* Computes the prevalence limit for each combination of the dummy covariates */ |
| int i, j, k, i1, k4=0, nres=0 ; |
int i, j, k, i1, k4=0, nres=0 ; |
| /* double ftolpl = 1.e-10; */ |
/* double ftolpl = 1.e-10; */ |
| double age, agebase, agelim; |
double age, agebase, agelim; |
|
Line 10529 int prevalence_limit(double *p, double *
|
Line 11791 int prevalence_limit(double *p, double *
|
| i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ |
i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(k=1; k<=i1;k++){ /* For each combination k of dummy covariates in the model */ |
/* for(k=1; k<=i1;k++){ /\* For each combination k of dummy covariates in the model *\/ */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| if(i1 != 1 && TKresult[nres]!= k) |
k=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| |
/* if(i1 != 1 && TKresult[nres]!= k) /\* We found the combination k corresponding to the resultline value of dummies *\/ */ |
| |
/* continue; */ |
| |
|
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ |
| //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ |
| /* k=k+1; */ |
/* k=k+1; */ |
| /* to clean */ |
/* to clean */ |
| //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
/*printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));*/ |
| fprintf(ficrespl,"#******"); |
fprintf(ficrespl,"#******"); |
| printf("#******"); |
printf("#******"); |
| fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
| for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
for(j=1;j<=cptcovs ;j++) {/**< cptcovs number of SIMPLE covariates in the model or resultline V2+V1 =2 (dummy or quantit or time varying) */ |
| fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); /* Here problem for varying dummy*/ |
/* fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Here problem for varying dummy*\/ */ |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
fprintf(ficrespl," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
} |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| } |
/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* } */ |
| fprintf(ficrespl,"******\n"); |
fprintf(ficrespl,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
|
Line 10564 int prevalence_limit(double *p, double *
|
Line 11831 int prevalence_limit(double *p, double *
|
| } |
} |
| |
|
| fprintf(ficrespl,"#Age "); |
fprintf(ficrespl,"#Age "); |
| for(j=1;j<=cptcoveff;j++) { |
/* for(j=1;j<=cptcoveff;j++) { */ |
| fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| |
/* } */ |
| |
for(j=1;j<=cptcovs;j++) { /* New the quanti variable is added */ |
| |
fprintf(ficrespl,"V%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); |
| fprintf(ficrespl,"Total Years_to_converge\n"); |
fprintf(ficrespl,"Total Years_to_converge\n"); |
| |
|
| for (age=agebase; age<=agelim; age++){ |
for (age=agebase; age<=agelim; age++){ |
| /* for (age=agebase; age<=agebase; age++){ */ |
/* for (age=agebase; age<=agebase; age++){ */ |
| prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); |
/**< Computes the prevalence limit in each live state at age x and for covariate combination (k and) nres */ |
| |
prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); /* Nicely done */ |
| fprintf(ficrespl,"%.0f ",age ); |
fprintf(ficrespl,"%.0f ",age ); |
| for(j=1;j<=cptcoveff;j++) |
/* for(j=1;j<=cptcoveff;j++) */ |
| fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| |
for(j=1;j<=cptcovs;j++) |
| |
fprintf(ficrespl,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
| tot += prlim[i][i]; |
tot += prlim[i][i]; |
|
Line 10584 int prevalence_limit(double *p, double *
|
Line 11857 int prevalence_limit(double *p, double *
|
| fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); |
fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); |
| } /* Age */ |
} /* Age */ |
| /* was end of cptcod */ |
/* was end of cptcod */ |
| } /* cptcov */ |
} /* nres */ |
| } /* nres */ |
/* } /\* for each combination *\/ */ |
| return 0; |
return 0; |
| } |
} |
| |
|
|
Line 10627 int back_prevalence_limit(double *p, dou
|
Line 11900 int back_prevalence_limit(double *p, dou
|
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying *\/ */ |
| if(i1 != 1 && TKresult[nres]!= k) |
k=TKresult[nres]; |
| continue; |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| |
/* continue; */ |
| |
/* /\*printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));*\/ */ |
| fprintf(ficresplb,"#******"); |
fprintf(ficresplb,"#******"); |
| printf("#******"); |
printf("#******"); |
| fprintf(ficlog,"#******"); |
fprintf(ficlog,"#******"); |
| for(j=1;j<=cptcoveff ;j++) {/* all covariates */ |
for(j=1;j<=cptcovs ;j++) {/**< cptcovs number of SIMPLE covariates in the model or resultline V2+V1 =2 (dummy or quantit or time varying) */ |
| fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
/* for(j=1;j<=cptcoveff ;j++) {/\* all covariates *\/ */ |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
/* } */ |
| |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* } */ |
| fprintf(ficresplb,"******\n"); |
fprintf(ficresplb,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
|
Line 10655 int back_prevalence_limit(double *p, dou
|
Line 11935 int back_prevalence_limit(double *p, dou
|
| } |
} |
| |
|
| fprintf(ficresplb,"#Age "); |
fprintf(ficresplb,"#Age "); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcovs;j++) { |
| fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"V%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
} |
| for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); |
for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); |
| fprintf(ficresplb,"Total Years_to_converge\n"); |
fprintf(ficresplb,"Total Years_to_converge\n"); |
|
Line 10679 int back_prevalence_limit(double *p, dou
|
Line 11959 int back_prevalence_limit(double *p, dou
|
| /* exit(1); */ |
/* exit(1); */ |
| } |
} |
| fprintf(ficresplb,"%.0f ",age ); |
fprintf(ficresplb,"%.0f ",age ); |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcovs;j++) |
| fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresplb,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| tot=0.; |
tot=0.; |
| for(i=1; i<=nlstate;i++){ |
for(i=1; i<=nlstate;i++){ |
| tot += bprlim[i][i]; |
tot += bprlim[i][i]; |
|
Line 10690 int back_prevalence_limit(double *p, dou
|
Line 11970 int back_prevalence_limit(double *p, dou
|
| } /* Age */ |
} /* Age */ |
| /* was end of cptcod */ |
/* was end of cptcod */ |
| /*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */ |
/*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */ |
| } /* end of any combination */ |
/* } /\* end of any combination *\/ */ |
| } /* end of nres */ |
} /* end of nres */ |
| /* hBijx(p, bage, fage); */ |
/* hBijx(p, bage, fage); */ |
| /* fclose(ficrespijb); */ |
/* fclose(ficrespijb); */ |
|
Line 10700 int back_prevalence_limit(double *p, dou
|
Line 11980 int back_prevalence_limit(double *p, dou
|
| |
|
| int hPijx(double *p, int bage, int fage){ |
int hPijx(double *p, int bage, int fage){ |
| /*------------- h Pij x at various ages ------------*/ |
/*------------- h Pij x at various ages ------------*/ |
| |
/* to be optimized with precov */ |
| int stepsize; |
int stepsize; |
| int agelim; |
int agelim; |
| int hstepm; |
int hstepm; |
|
Line 10710 int hPijx(double *p, int bage, int fage)
|
Line 11990 int hPijx(double *p, int bage, int fage)
|
| double agedeb; |
double agedeb; |
| double ***p3mat; |
double ***p3mat; |
| |
|
| strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu); |
strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu); |
| if((ficrespij=fopen(filerespij,"w"))==NULL) { |
if((ficrespij=fopen(filerespij,"w"))==NULL) { |
| printf("Problem with Pij resultfile: %s\n", filerespij); return 1; |
printf("Problem with Pij resultfile: %s\n", filerespij); return 1; |
| fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1; |
fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1; |
| } |
} |
| printf("Computing pij: result on file '%s' \n", filerespij); |
printf("Computing pij: result on file '%s' \n", filerespij); |
| fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij); |
fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij); |
| |
|
| stepsize=(int) (stepm+YEARM-1)/YEARM; |
stepsize=(int) (stepm+YEARM-1)/YEARM; |
| /*if (stepm<=24) stepsize=2;*/ |
/*if (stepm<=24) stepsize=2;*/ |
| |
|
| agelim=AGESUP; |
agelim=AGESUP; |
| hstepm=stepsize*YEARM; /* Every year of age */ |
hstepm=stepsize*YEARM; /* Every year of age */ |
| hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ |
hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ |
| |
|
| /* hstepm=1; aff par mois*/ |
/* hstepm=1; aff par mois*/ |
| pstamp(ficrespij); |
pstamp(ficrespij); |
| fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); |
| i1= pow(2,cptcoveff); |
i1= pow(2,cptcoveff); |
| /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ |
| /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ |
k=TKresult[nres]; |
| if(i1 != 1 && TKresult[nres]!= k) |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| continue; |
/* for(k=1; k<=i1;k++){ */ |
| fprintf(ficrespij,"\n#****** "); |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| for(j=1;j<=cptcoveff;j++) |
/* continue; */ |
| fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespij,"\n#****** "); |
| for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ |
for(j=1;j<=cptcovs;j++){ |
| printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficrespij," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
/* fprintf(ficrespij,"@wV%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value *\/ */ |
| fprintf(ficrespij,"******\n"); |
/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| |
/* fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ |
| for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */ |
} |
| nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ |
fprintf(ficrespij,"******\n"); |
| nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ |
|
| |
for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */ |
| /* nhstepm=nhstepm*YEARM; aff par mois*/ |
nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ |
| |
nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
|
| oldm=oldms;savm=savms; |
/* nhstepm=nhstepm*YEARM; aff par mois*/ |
| hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k, nres); |
|
| fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j="); |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
oldm=oldms;savm=savms; |
| |
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k, nres); |
| |
fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j="); |
| |
for(i=1; i<=nlstate;i++) |
| |
for(j=1; j<=nlstate+ndeath;j++) |
| |
fprintf(ficrespij," %1d-%1d",i,j); |
| |
fprintf(ficrespij,"\n"); |
| |
for (h=0; h<=nhstepm; h++){ |
| |
/*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ |
| |
fprintf(ficrespij,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
| for(j=1; j<=nlstate+ndeath;j++) |
for(j=1; j<=nlstate+ndeath;j++) |
| fprintf(ficrespij," %1d-%1d",i,j); |
fprintf(ficrespij," %.5f", p3mat[i][j][h]); |
| fprintf(ficrespij,"\n"); |
|
| for (h=0; h<=nhstepm; h++){ |
|
| /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ |
|
| fprintf(ficrespij,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); |
|
| for(i=1; i<=nlstate;i++) |
|
| for(j=1; j<=nlstate+ndeath;j++) |
|
| fprintf(ficrespij," %.5f", p3mat[i][j][h]); |
|
| fprintf(ficrespij,"\n"); |
|
| } |
|
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
|
| fprintf(ficrespij,"\n"); |
fprintf(ficrespij,"\n"); |
| } |
} |
| /*}*/ |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
fprintf(ficrespij,"\n"); |
| } |
} |
| return 0; |
} |
| |
/*}*/ |
| |
return 0; |
| } |
} |
| |
|
| int hBijx(double *p, int bage, int fage, double ***prevacurrent){ |
int hBijx(double *p, int bage, int fage, double ***prevacurrent){ |
| /*------------- h Bij x at various ages ------------*/ |
/*------------- h Bij x at various ages ------------*/ |
| |
/* To be optimized with precov */ |
| int stepsize; |
int stepsize; |
| /* int agelim; */ |
/* int agelim; */ |
| int ageminl; |
int ageminl; |
|
Line 10812 int hPijx(double *p, int bage, int fage)
|
Line 12095 int hPijx(double *p, int bage, int fage)
|
| /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ |
| /* k=k+1; */ |
/* k=k+1; */ |
| for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
| for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
k=TKresult[nres]; |
| if(i1 != 1 && TKresult[nres]!= k) |
if(TKresult[nres]==0) k=1; /* To be checked for noresult */ |
| continue; |
/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying *\/ */ |
| fprintf(ficrespijb,"\n#****** "); |
/* if(i1 != 1 && TKresult[nres]!= k) */ |
| for(j=1;j<=cptcoveff;j++) |
/* continue; */ |
| fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficrespijb,"\n#****** "); |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
for(j=1;j<=cptcovs;j++){ |
| fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficrespijb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]); |
| } |
/* for(j=1;j<=cptcoveff;j++) */ |
| fprintf(ficrespijb,"******\n"); |
/* fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| if(invalidvarcomb[k]){ /* Is it necessary here? */ |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k); |
/* fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| continue; |
} |
| } |
fprintf(ficrespijb,"******\n"); |
| |
if(invalidvarcomb[k]){ /* Is it necessary here? */ |
| /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ |
fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k); |
| for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ |
continue; |
| /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */ |
} |
| nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm+0.1)-1; /* Typically 20 years = 20*12/6=40 or 55*12/24=27.5-1.1=>27 */ |
|
| nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 or 28*/ |
/* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ |
| |
for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ |
| /* nhstepm=nhstepm*YEARM; aff par mois*/ |
/* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */ |
| |
nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm+0.1)-1; /* Typically 20 years = 20*12/6=40 or 55*12/24=27.5-1.1=>27 */ |
| p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */ |
nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 or 28*/ |
| /* and memory limitations if stepm is small */ |
|
| |
/* nhstepm=nhstepm*YEARM; aff par mois*/ |
| /* oldm=oldms;savm=savms; */ |
|
| /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ |
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */ |
| hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres); |
/* and memory limitations if stepm is small */ |
| /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */ |
|
| fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j="); |
/* oldm=oldms;savm=savms; */ |
| |
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ |
| |
hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);/* Bug valgrind */ |
| |
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */ |
| |
fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j="); |
| |
for(i=1; i<=nlstate;i++) |
| |
for(j=1; j<=nlstate+ndeath;j++) |
| |
fprintf(ficrespijb," %1d-%1d",i,j); |
| |
fprintf(ficrespijb,"\n"); |
| |
for (h=0; h<=nhstepm; h++){ |
| |
/*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ |
| |
fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm ); |
| |
/* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */ |
| for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
| for(j=1; j<=nlstate+ndeath;j++) |
for(j=1; j<=nlstate+ndeath;j++) |
| fprintf(ficrespijb," %1d-%1d",i,j); |
fprintf(ficrespijb," %.5f", p3mat[i][j][h]);/* Bug valgrind */ |
| fprintf(ficrespijb,"\n"); |
|
| for (h=0; h<=nhstepm; h++){ |
|
| /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ |
|
| fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm ); |
|
| /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */ |
|
| for(i=1; i<=nlstate;i++) |
|
| for(j=1; j<=nlstate+ndeath;j++) |
|
| fprintf(ficrespijb," %.5f", p3mat[i][j][h]); |
|
| fprintf(ficrespijb,"\n"); |
|
| } |
|
| free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
|
| fprintf(ficrespijb,"\n"); |
fprintf(ficrespijb,"\n"); |
| } /* end age deb */ |
} |
| } /* end combination */ |
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); |
| |
fprintf(ficrespijb,"\n"); |
| |
} /* end age deb */ |
| |
/* } /\* end combination *\/ */ |
| } /* end nres */ |
} /* end nres */ |
| return 0; |
return 0; |
| } /* hBijx */ |
} /* hBijx */ |
|
Line 10906 int main(int argc, char *argv[])
|
Line 12193 int main(int argc, char *argv[])
|
| double dum=0.; /* Dummy variable */ |
double dum=0.; /* Dummy variable */ |
| double ***p3mat; |
double ***p3mat; |
| /* double ***mobaverage; */ |
/* double ***mobaverage; */ |
| |
double wald; |
| |
|
| char line[MAXLINE]; |
char line[MAXLINE]; |
| char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; |
char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; |
| |
|
| char modeltemp[MAXLINE]; |
char modeltemp[MAXLINE]; |
| char resultline[MAXLINE]; |
char resultline[MAXLINE], resultlineori[MAXLINE]; |
| |
|
| char pathr[MAXLINE], pathimach[MAXLINE]; |
char pathr[MAXLINE], pathimach[MAXLINE]; |
| char *tok, *val; /* pathtot */ |
char *tok, *val; /* pathtot */ |
| int firstobs=1, lastobs=10; /* nobs = lastobs-firstobs declared globally ;*/ |
/* int firstobs=1, lastobs=10; /\* nobs = lastobs-firstobs declared globally ;*\/ */ |
| int c, h , cpt, c2; |
int c, h , cpt, c2; |
| int jl=0; |
int jl=0; |
| int i1, j1, jk, stepsize=0; |
int i1, j1, jk, stepsize=0; |
|
Line 10942 int main(int argc, char *argv[])
|
Line 12230 int main(int argc, char *argv[])
|
| double ftolpl=FTOL; |
double ftolpl=FTOL; |
| double **prlim; |
double **prlim; |
| double **bprlim; |
double **bprlim; |
| double ***param; /* Matrix of parameters */ |
double ***param; /* Matrix of parameters, param[i][j][k] param=ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel) |
| |
state of origin, state of destination including death, for each covariate: constante, age, and V1 V2 etc. */ |
| double ***paramstart; /* Matrix of starting parameter values */ |
double ***paramstart; /* Matrix of starting parameter values */ |
| double *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */ |
double *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */ |
| double **matcov; /* Matrix of covariance */ |
double **matcov; /* Matrix of covariance */ |
|
Line 11253 int main(int argc, char *argv[])
|
Line 12542 int main(int argc, char *argv[])
|
| strcpy(model,modeltemp); |
strcpy(model,modeltemp); |
| } |
} |
| } |
} |
| /* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */ |
/* printf(" model=1+age%s modeltemp= %s, model=1+age+%s\n",model, modeltemp, model);fflush(stdout); */ |
| printf("model=1+age+%s\n",model);fflush(stdout); |
printf("model=1+age+%s\n",model);fflush(stdout); |
| fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout); |
fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout); |
| fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout); |
fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout); |
|
Line 11281 int main(int argc, char *argv[])
|
Line 12570 int main(int argc, char *argv[])
|
| numlinepar++; |
numlinepar++; |
| if(line[1]=='q'){ /* This #q will quit imach (the answer is q) */ |
if(line[1]=='q'){ /* This #q will quit imach (the answer is q) */ |
| z[0]=line[1]; |
z[0]=line[1]; |
| |
}else if(line[1]=='d'){ /* For debugging individual values of covariates in ficresilk */ |
| |
debugILK=1; |
| } |
} |
| /* printf("****line [1] = %c \n",line[1]); */ |
/* printf("****line [1] = %c \n",line[1]); */ |
| fputs(line, stdout); |
fputs(line, stdout); |
|
Line 11294 int main(int argc, char *argv[])
|
Line 12585 int main(int argc, char *argv[])
|
| covar=matrix(0,NCOVMAX,firstobs,lastobs); /**< used in readdata */ |
covar=matrix(0,NCOVMAX,firstobs,lastobs); /**< used in readdata */ |
| if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs); /**< Fixed quantitative covariate */ |
if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs); /**< Fixed quantitative covariate */ |
| if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs); /**< Time varying quantitative covariate */ |
if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs); /**< Time varying quantitative covariate */ |
| if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,firstobs,lastobs); /**< Time varying covariate (dummy and quantitative)*/ |
/* if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,firstobs,lastobs); /\**< Time varying covariate (dummy and quantitative)*\/ */ |
| |
if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,ncovcol+nqv+1,ncovcol+nqv+ntv+nqtv,firstobs,lastobs); /**< Might be better */ |
| cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ |
cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ |
| /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 |
/* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 |
| v1+v2*age+v2*v3 makes cptcovn = 3 |
v1+v2*age+v2*v3 makes cptcovn = 3 |
|
Line 11536 Please run with mle=-1 to get a correct
|
Line 12828 Please run with mle=-1 to get a correct
|
| } |
} |
| mint=matrix(1,maxwav,firstobs,lastobs); |
mint=matrix(1,maxwav,firstobs,lastobs); |
| anint=matrix(1,maxwav,firstobs,lastobs); |
anint=matrix(1,maxwav,firstobs,lastobs); |
| s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */ |
s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */ |
| |
/* printf("BUG ncovmodel=%d NCOVMAX=%d 2**ncovmodel=%f BUG\n",ncovmodel,NCOVMAX,pow(2,ncovmodel)); */ |
| tab=ivector(1,NCOVMAX); |
tab=ivector(1,NCOVMAX); |
| ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ |
ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ |
| ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ |
ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */ |
|
Line 11555 Please run with mle=-1 to get a correct
|
Line 12848 Please run with mle=-1 to get a correct
|
| |
|
| Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ |
Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ |
| TvarsDind=ivector(1,NCOVMAX); /* */ |
TvarsDind=ivector(1,NCOVMAX); /* */ |
| |
TnsdVar=ivector(1,NCOVMAX); /* */ |
| |
/* for(i=1; i<=NCOVMAX;i++) TnsdVar[i]=3; */ |
| TvarsD=ivector(1,NCOVMAX); /* */ |
TvarsD=ivector(1,NCOVMAX); /* */ |
| TvarsQind=ivector(1,NCOVMAX); /* */ |
TvarsQind=ivector(1,NCOVMAX); /* */ |
| TvarsQ=ivector(1,NCOVMAX); /* */ |
TvarsQ=ivector(1,NCOVMAX); /* */ |
|
Line 11572 Please run with mle=-1 to get a correct
|
Line 12867 Please run with mle=-1 to get a correct
|
| TvarVDind=ivector(1,NCOVMAX); /* */ |
TvarVDind=ivector(1,NCOVMAX); /* */ |
| TvarVQ=ivector(1,NCOVMAX); /* */ |
TvarVQ=ivector(1,NCOVMAX); /* */ |
| TvarVQind=ivector(1,NCOVMAX); /* */ |
TvarVQind=ivector(1,NCOVMAX); /* */ |
| |
TvarVV=ivector(1,NCOVMAX); /* */ |
| |
TvarVVind=ivector(1,NCOVMAX); /* */ |
| |
|
| Tvalsel=vector(1,NCOVMAX); /* */ |
Tvalsel=vector(1,NCOVMAX); /* */ |
| Tvarsel=ivector(1,NCOVMAX); /* */ |
Tvarsel=ivector(1,NCOVMAX); /* */ |
|
Line 11597 Please run with mle=-1 to get a correct
|
Line 12894 Please run with mle=-1 to get a correct
|
| Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm |
Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm |
| * For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd. |
* For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd. |
| * Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */ |
* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */ |
| |
Tvardk=imatrix(1,NCOVMAX,1,2); |
| Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age |
Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age |
| 4 covariates (3 plus signs) |
4 covariates (3 plus signs) |
| Tage[1=V3*age]= 4; Tage[2=age*V4] = 3 |
Tage[1=V3*age]= 4; Tage[2=age*V4] = 3 |
| */ |
*/ |
| |
for(i=1;i<NCOVMAX;i++) |
| |
Tage[i]=0; |
| Tmodelind=ivector(1,NCOVMAX);/** gives the k model position of an |
Tmodelind=ivector(1,NCOVMAX);/** gives the k model position of an |
| * individual dummy, fixed or varying: |
* individual dummy, fixed or varying: |
| * Tmodelind[Tvaraff[3]]=9,Tvaraff[1]@9={4, |
* Tmodelind[Tvaraff[3]]=9,Tvaraff[1]@9={4, |
|
Line 11674 Please run with mle=-1 to get a correct
|
Line 12974 Please run with mle=-1 to get a correct
|
| Ndum =ivector(-1,NCOVMAX); |
Ndum =ivector(-1,NCOVMAX); |
| cptcoveff=0; |
cptcoveff=0; |
| if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ |
if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ |
| tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; as well as calculate cptcoveff or number of total effective dummy covariates*/ |
| } |
} |
| |
|
| ncovcombmax=pow(2,cptcoveff); |
ncovcombmax=pow(2,cptcoveff); |
| invalidvarcomb=ivector(1, ncovcombmax); |
invalidvarcomb=ivector(0, ncovcombmax); |
| for(i=1;i<ncovcombmax;i++) |
for(i=0;i<ncovcombmax;i++) |
| invalidvarcomb[i]=0; |
invalidvarcomb[i]=0; |
| |
|
| /* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
/* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
|
Line 11704 Please run with mle=-1 to get a correct
|
Line 13004 Please run with mle=-1 to get a correct
|
| * For k=4 covariates, h goes from 1 to m=2**k |
* For k=4 covariates, h goes from 1 to m=2**k |
| * codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1; |
* codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1; |
| * #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
* #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
| * h\k 1 2 3 4 |
* h\k 1 2 3 4 * h-1\k-1 4 3 2 1 |
| *______________________________ |
*______________________________ *______________________ |
| * 1 i=1 1 i=1 1 i=1 1 i=1 1 |
* 1 i=1 1 i=1 1 i=1 1 i=1 1 * 0 0 0 0 0 |
| * 2 2 1 1 1 |
* 2 2 1 1 1 * 1 0 0 0 1 |
| * 3 i=2 1 2 1 1 |
* 3 i=2 1 2 1 1 * 2 0 0 1 0 |
| * 4 2 2 1 1 |
* 4 2 2 1 1 * 3 0 0 1 1 |
| * 5 i=3 1 i=2 1 2 1 |
* 5 i=3 1 i=2 1 2 1 * 4 0 1 0 0 |
| * 6 2 1 2 1 |
* 6 2 1 2 1 * 5 0 1 0 1 |
| * 7 i=4 1 2 2 1 |
* 7 i=4 1 2 2 1 * 6 0 1 1 0 |
| * 8 2 2 2 1 |
* 8 2 2 2 1 * 7 0 1 1 1 |
| * 9 i=5 1 i=3 1 i=2 1 2 |
* 9 i=5 1 i=3 1 i=2 1 2 * 8 1 0 0 0 |
| * 10 2 1 1 2 |
* 10 2 1 1 2 * 9 1 0 0 1 |
| * 11 i=6 1 2 1 2 |
* 11 i=6 1 2 1 2 * 10 1 0 1 0 |
| * 12 2 2 1 2 |
* 12 2 2 1 2 * 11 1 0 1 1 |
| * 13 i=7 1 i=4 1 2 2 |
* 13 i=7 1 i=4 1 2 2 * 12 1 1 0 0 |
| * 14 2 1 2 2 |
* 14 2 1 2 2 * 13 1 1 0 1 |
| * 15 i=8 1 2 2 2 |
* 15 i=8 1 2 2 2 * 14 1 1 1 0 |
| * 16 2 2 2 2 |
* 16 2 2 2 2 * 15 1 1 1 1 |
| */ |
*/ |
| /* How to do the opposite? From combination h (=1 to 2**k) how to get the value on the covariates? */ |
/* How to do the opposite? From combination h (=1 to 2**k) how to get the value on the covariates? */ |
| /* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4 |
/* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4 |
| * and the value of each covariate? |
* and the value of each covariate? |
|
Line 11813 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 13113 Title=%s <br>Datafile=%s Firstpass=%d La
|
| optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
| } |
} |
| |
|
| fprintf(fichtm,"<html><head>\n<head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<title>IMaCh %s</title></head>\n <body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n<font size=\"3\">Sponsored by Copyright (C) 2002-2015 <a href=http://www.ined.fr>INED</a>-EUROREVES-Institut de longévité-2013-2016-Japan Society for the Promotion of Sciences 日本学術振興会 (<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - <a href=https://software.intel.com/en-us>Intel Software 2015-2018</a></font><br> \ |
fprintf(fichtm,"<html><head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n\ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<title>IMaCh %s</title></head>\n\ |
| |
<body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n\ |
| |
<font size=\"3\">Sponsored by Copyright (C) 2002-2015 <a href=http://www.ined.fr>INED</a>\ |
| |
-EUROREVES-Institut de longévité-2013-2022-Japan Society for the Promotion of Sciences 日本学術振興会 \ |
| |
(<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - \ |
| |
<a href=https://software.intel.com/en-us>Intel Software 2015-2018</a></font><br> \n", optionfilehtm); |
| |
|
| |
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
| <font size=\"2\">IMaCh-%s <br> %s</font> \ |
<font size=\"2\">IMaCh-%s <br> %s</font> \ |
| <hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
| Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n\ |
This file: <a href=\"%s\">%s</a></br>Title=%s <br>Datafile=<a href=\"%s\">%s</a> Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n\ |
| \n\ |
\n\ |
| <hr size=\"2\" color=\"#EC5E5E\">\ |
<hr size=\"2\" color=\"#EC5E5E\">\ |
| <ul><li><h4>Parameter files</h4>\n\ |
<ul><li><h4>Parameter files</h4>\n\ |
|
Line 11826 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 13133 Title=%s <br>Datafile=%s Firstpass=%d La
|
| - Log file of the run: <a href=\"%s\">%s</a><br>\n\ |
- Log file of the run: <a href=\"%s\">%s</a><br>\n\ |
| - Gnuplot file name: <a href=\"%s\">%s</a><br>\n\ |
- Gnuplot file name: <a href=\"%s\">%s</a><br>\n\ |
| - Date and time at start: %s</ul>\n",\ |
- Date and time at start: %s</ul>\n",\ |
| optionfilehtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\ |
version,fullversion,optionfilehtm,optionfilehtm,title,datafile,datafile,firstpass,lastpass,stepm, weightopt, model, \ |
| optionfilefiname,optionfilext,optionfilefiname,optionfilext,\ |
optionfilefiname,optionfilext,optionfilefiname,optionfilext,\ |
| fileres,fileres,\ |
fileres,fileres,\ |
| filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart); |
filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart); |
|
Line 11869 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 13176 Title=%s <br>Datafile=%s Firstpass=%d La
|
| <img src=\"%s_.svg\">", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_")); |
<img src=\"%s_.svg\">", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_")); |
| |
|
| |
|
| fprintf(fichtm,"\n<h4>Some descriptive statistics </h4>\n<br>Total number of observations=%d <br>\n\ |
fprintf(fichtm,"\n<h4>Some descriptive statistics </h4>\n<br>Number of (used) observations=%d <br>\n\ |
| Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\ |
Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\ |
| Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\ |
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\ |
| imx,agemin,agemax,jmin,jmax,jmean); |
imx,agemin,agemax,jmin,jmax,jmean); |
|
Line 12140 Please run with mle=-1 to get a correct
|
Line 13447 Please run with mle=-1 to get a correct
|
| globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */ |
globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */ |
| likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */ |
| printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); |
printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw); |
| |
/* exit(0); */ |
| for (k=1; k<=npar;k++) |
for (k=1; k<=npar;k++) |
| printf(" %d %8.5f",k,p[k]); |
printf(" %d %8.5f",k,p[k]); |
| printf("\n"); |
printf("\n"); |
|
Line 12149 Please run with mle=-1 to get a correct
|
Line 13457 Please run with mle=-1 to get a correct
|
| |
|
| |
|
| fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
| printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); /* Printing model equation */ |
| fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); |
| |
|
| |
printf("#model= 1 + age "); |
| |
fprintf(ficres,"#model= 1 + age "); |
| |
fprintf(ficlog,"#model= 1 + age "); |
| |
fprintf(fichtm,"\n<ul><li> model=1+age+%s\n \ |
| |
</ul>", model); |
| |
|
| |
fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">\n"); |
| |
fprintf(fichtm, "<tr><th>Model=</th><th>1</th><th>+ age</th>"); |
| |
if(nagesqr==1){ |
| |
printf(" + age*age "); |
| |
fprintf(ficres," + age*age "); |
| |
fprintf(ficlog," + age*age "); |
| |
fprintf(fichtm, "<th>+ age*age</th>"); |
| |
} |
| |
for(j=1;j <=ncovmodel-2;j++){ |
| |
if(Typevar[j]==0) { |
| |
printf(" + V%d ",Tvar[j]); |
| |
fprintf(ficres," + V%d ",Tvar[j]); |
| |
fprintf(ficlog," + V%d ",Tvar[j]); |
| |
fprintf(fichtm, "<th>+ V%d</th>",Tvar[j]); |
| |
}else if(Typevar[j]==1) { |
| |
printf(" + V%d*age ",Tvar[j]); |
| |
fprintf(ficres," + V%d*age ",Tvar[j]); |
| |
fprintf(ficlog," + V%d*age ",Tvar[j]); |
| |
fprintf(fichtm, "<th>+ V%d*age</th>",Tvar[j]); |
| |
}else if(Typevar[j]==2) { |
| |
printf(" + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
fprintf(ficres," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
fprintf(fichtm, "<th>+ V%d*V%d</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
} |
| |
} |
| |
printf("\n"); |
| |
fprintf(ficres,"\n"); |
| |
fprintf(ficlog,"\n"); |
| |
fprintf(fichtm, "</tr>"); |
| |
fprintf(fichtm, "\n"); |
| |
|
| |
|
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| |
fprintf(fichtm, "<tr>"); |
| printf("%d%d ",i,k); |
printf("%d%d ",i,k); |
| fprintf(ficlog,"%d%d ",i,k); |
fprintf(ficlog,"%d%d ",i,k); |
| fprintf(ficres,"%1d%1d ",i,k); |
fprintf(ficres,"%1d%1d ",i,k); |
| |
fprintf(fichtm, "<td>%1d%1d</td>",i,k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| printf("%12.7f ",p[jk]); |
printf("%12.7f ",p[jk]); |
| fprintf(ficlog,"%12.7f ",p[jk]); |
fprintf(ficlog,"%12.7f ",p[jk]); |
| fprintf(ficres,"%12.7f ",p[jk]); |
fprintf(ficres,"%12.7f ",p[jk]); |
| |
fprintf(fichtm, "<td>%12.7f</td>",p[jk]); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| fprintf(ficres,"\n"); |
fprintf(ficres,"\n"); |
| |
fprintf(fichtm, "</tr>\n"); |
| } |
} |
| } |
} |
| } |
} |
| |
/* fprintf(fichtm,"</tr>\n"); */ |
| |
fprintf(fichtm,"</table>\n"); |
| |
fprintf(fichtm, "\n"); |
| |
|
| if(mle != 0){ |
if(mle != 0){ |
| /* Computing hessian and covariance matrix only at a peak of the Likelihood, that is after optimization */ |
/* Computing hessian and covariance matrix only at a peak of the Likelihood, that is after optimization */ |
| ftolhess=ftol; /* Usually correct */ |
ftolhess=ftol; /* Usually correct */ |
| hesscov(matcov, hess, p, npar, delti, ftolhess, func); |
hesscov(matcov, hess, p, npar, delti, ftolhess, func); |
| printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
| fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n"); |
| |
fprintf(fichtm, "\n<p>The Wald test results are output only if the maximimzation of the Likelihood is performed (mle=1)\n</br>Parameters, Wald tests and Wald-based confidence intervals\n</br> W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n</br> And Wald-based confidence intervals plus and minus 1.96 * W \n </br> It might be better to visualize the covariance matrix. See the page '<a href=\"%s\">Matrix of variance-covariance of one-step probabilities and its graphs</a>'.\n</br>",optionfilehtmcov); |
| |
fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">"); |
| |
fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>"); |
| |
if(nagesqr==1){ |
| |
printf(" + age*age "); |
| |
fprintf(ficres," + age*age "); |
| |
fprintf(ficlog," + age*age "); |
| |
fprintf(fichtm, "<th>+ age*age</th>"); |
| |
} |
| |
for(j=1;j <=ncovmodel-2;j++){ |
| |
if(Typevar[j]==0) { |
| |
printf(" + V%d ",Tvar[j]); |
| |
fprintf(fichtm, "<th>+ V%d</th>",Tvar[j]); |
| |
}else if(Typevar[j]==1) { |
| |
printf(" + V%d*age ",Tvar[j]); |
| |
fprintf(fichtm, "<th>+ V%d*age</th>",Tvar[j]); |
| |
}else if(Typevar[j]==2) { |
| |
fprintf(fichtm, "<th>+ V%d*V%d</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
| |
} |
| |
} |
| |
fprintf(fichtm, "</tr>\n"); |
| |
|
| for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
| for(k=1; k <=(nlstate+ndeath); k++){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
| if (k != i) { |
if (k != i) { |
| |
fprintf(fichtm, "<tr valign=top>"); |
| printf("%d%d ",i,k); |
printf("%d%d ",i,k); |
| fprintf(ficlog,"%d%d ",i,k); |
fprintf(ficlog,"%d%d ",i,k); |
| |
fprintf(fichtm, "<td>%1d%1d</td>",i,k); |
| for(j=1; j <=ncovmodel; j++){ |
for(j=1; j <=ncovmodel; j++){ |
| printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
wald=p[jk]/sqrt(matcov[jk][jk]); |
| fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
printf("%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| |
fprintf(ficlog,"%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| |
if(fabs(wald) > 1.96){ |
| |
fprintf(fichtm, "<td><b>%12.7f</b></br> (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
| |
}else{ |
| |
fprintf(fichtm, "<td>%12.7f (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk])); |
| |
} |
| |
fprintf(fichtm,"W=%8.3f</br>",wald); |
| |
fprintf(fichtm,"[%12.7f;%12.7f]</br></td>", p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk])); |
| jk++; |
jk++; |
| } |
} |
| printf("\n"); |
printf("\n"); |
| fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
| |
fprintf(fichtm, "</tr>\n"); |
| } |
} |
| } |
} |
| } |
} |
| } /* end of hesscov and Wald tests */ |
} /* end of hesscov and Wald tests */ |
| |
fprintf(fichtm,"</table>\n"); |
| |
|
| /* */ |
/* */ |
| fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); |
|
Line 12402 Please run with mle=-1 to get a correct
|
Line 13792 Please run with mle=-1 to get a correct
|
| } |
} |
| |
|
| /* Results */ |
/* Results */ |
| |
/* Value of covariate in each resultine will be compututed (if product) and sorted according to model rank */ |
| |
/* It is precov[] because we need the varying age in order to compute the real cov[] of the model equation */ |
| |
precov=matrix(1,MAXRESULTLINESPONE,1,NCOVMAX+1); |
| |
endishere=0; |
| nresult=0; |
nresult=0; |
| |
parameterline=0; |
| do{ |
do{ |
| if(!fgets(line, MAXLINE, ficpar)){ |
if(!fgets(line, MAXLINE, ficpar)){ |
| endishere=1; |
endishere=1; |
| parameterline=14; |
parameterline=15; |
| }else if (line[0] == '#') { |
}else if (line[0] == '#') { |
| /* If line starts with a # it is a comment */ |
/* If line starts with a # it is a comment */ |
| numlinepar++; |
numlinepar++; |
|
Line 12419 Please run with mle=-1 to get a correct
|
Line 13814 Please run with mle=-1 to get a correct
|
| parameterline=11; |
parameterline=11; |
| else if(sscanf(line,"prevbackcast=%[^\n]\n",modeltemp)) |
else if(sscanf(line,"prevbackcast=%[^\n]\n",modeltemp)) |
| parameterline=12; |
parameterline=12; |
| else if(sscanf(line,"result:%[^\n]\n",modeltemp)) |
else if(sscanf(line,"result:%[^\n]\n",modeltemp)){ |
| parameterline=13; |
parameterline=13; |
| |
} |
| else{ |
else{ |
| parameterline=14; |
parameterline=14; |
| } |
} |
| switch (parameterline){ |
switch (parameterline){ /* =0 only if only comments */ |
| case 11: |
case 11: |
| if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF && (num_filled == 8)){ |
if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF && (num_filled == 8)){ |
| fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj); |
|
Line 12437 Please run with mle=-1 to get a correct
|
Line 13833 Please run with mle=-1 to get a correct
|
| prvforecast = 1; |
prvforecast = 1; |
| } |
} |
| else if((num_filled=sscanf(line,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",&prevfcast,&yrfproj,&mobilavproj)) !=EOF){/* && (num_filled == 3))*/ |
else if((num_filled=sscanf(line,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",&prevfcast,&yrfproj,&mobilavproj)) !=EOF){/* && (num_filled == 3))*/ |
| printf("prevforecast=%d yearsfproj=%lf.2 mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
printf("prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
| fprintf(ficlog,"prevforecast=%d yearsfproj=%lf.2 mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
fprintf(ficlog,"prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
| fprintf(ficres,"prevforecast=%d yearsfproj=%lf.2 mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
fprintf(ficres,"prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj); |
| prvforecast = 2; |
prvforecast = 2; |
| } |
} |
| else { |
else { |
|
Line 12460 Please run with mle=-1 to get a correct
|
Line 13856 Please run with mle=-1 to get a correct
|
| prvbackcast = 1; |
prvbackcast = 1; |
| } |
} |
| else if((num_filled=sscanf(line,"prevbackcast=%d yearsbproj=%lf mobil_average=%d\n",&prevbcast,&yrbproj,&mobilavproj)) ==3){/* && (num_filled == 3))*/ |
else if((num_filled=sscanf(line,"prevbackcast=%d yearsbproj=%lf mobil_average=%d\n",&prevbcast,&yrbproj,&mobilavproj)) ==3){/* && (num_filled == 3))*/ |
| printf("prevbackcast=%d yearsbproj=%lf.2 mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
printf("prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
| fprintf(ficlog,"prevbackcast=%d yearsbproj=%lf.2 mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
fprintf(ficlog,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
| fprintf(ficres,"prevbackcast=%d yearsbproj=%lf.2 mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
fprintf(ficres,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj); |
| prvbackcast = 2; |
prvbackcast = 2; |
| } |
} |
| else { |
else { |
|
Line 12472 Please run with mle=-1 to get a correct
|
Line 13868 Please run with mle=-1 to get a correct
|
| } |
} |
| break; |
break; |
| case 13: |
case 13: |
| if((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){ |
num_filled=sscanf(line,"result:%[^\n]\n",resultlineori); |
| if (num_filled == 0){ |
nresult++; /* Sum of resultlines */ |
| resultline[0]='\0'; |
/* printf("Result %d: result:%s\n",nresult, resultlineori); */ |
| printf("Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line); |
/* removefirstspace(&resultlineori); */ |
| fprintf(ficlog,"Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line); |
|
| break; |
if(strstr(resultlineori,"v") !=0){ |
| } else if (num_filled != 1){ |
printf("Error. 'v' must be in upper case 'V' result: %s ",resultlineori); |
| printf("ERROR %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line); |
fprintf(ficlog,"Error. 'v' must be in upper case result: %s ",resultlineori);fflush(ficlog); |
| fprintf(ficlog,"ERROR %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line); |
return 1; |
| } |
} |
| nresult++; /* Sum of resultlines */ |
trimbb(resultline, resultlineori); /* Suppressing double blank in the resultline */ |
| printf("Result %d: result=%s\n",nresult, resultline); |
/* printf("Decoderesult resultline=\"%s\" resultlineori=\"%s\"\n", resultline, resultlineori); */ |
| if(nresult > MAXRESULTLINES){ |
if(nresult > MAXRESULTLINESPONE-1){ |
| printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult); |
printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINESPONE-1,nresult,rfileres); |
| fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult); |
fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINESPONE-1,nresult,rfileres); |
| goto end; |
goto end; |
| } |
} |
| decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */ |
|
| |
if(!decoderesult(resultline, nresult)){ /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */ |
| fprintf(ficparo,"result: %s\n",resultline); |
fprintf(ficparo,"result: %s\n",resultline); |
| fprintf(ficres,"result: %s\n",resultline); |
fprintf(ficres,"result: %s\n",resultline); |
| fprintf(ficlog,"result: %s\n",resultline); |
fprintf(ficlog,"result: %s\n",resultline); |
| break; |
} else |
| case 14: |
goto end; |
| if(ncovmodel >2 && nresult==0 ){ |
break; |
| printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line); |
case 14: |
| goto end; |
printf("Error: Unknown command '%s'\n",line); |
| } |
fprintf(ficlog,"Error: Unknown command '%s'\n",line); |
| break; |
if(line[0] == ' ' || line[0] == '\n'){ |
| default: |
printf("It should not be an empty line '%s'\n",line); |
| nresult=1; |
fprintf(ficlog,"It should not be an empty line '%s'\n",line); |
| decoderesult(".",nresult ); /* No covariate */ |
} |
| |
if(ncovmodel >=2 && nresult==0 ){ |
| |
printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line); |
| |
fprintf(ficlog,"ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line); |
| } |
} |
| |
/* goto end; */ |
| |
break; |
| |
case 15: |
| |
printf("End of resultlines.\n"); |
| |
fprintf(ficlog,"End of resultlines.\n"); |
| |
break; |
| |
default: /* parameterline =0 */ |
| |
nresult=1; |
| |
decoderesult(".",nresult ); /* No covariate */ |
| } /* End switch parameterline */ |
} /* End switch parameterline */ |
| }while(endishere==0); /* End do */ |
}while(endishere==0); /* End do */ |
| |
|
|
Line 12580 Please run with mle=-1 to get a correct
|
Line 13989 Please run with mle=-1 to get a correct
|
| /*--------------- Prevalence limit (period or stable prevalence) --------------*/ |
/*--------------- Prevalence limit (period or stable prevalence) --------------*/ |
| /*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ |
/*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ |
| prlim=matrix(1,nlstate,1,nlstate); |
prlim=matrix(1,nlstate,1,nlstate); |
| |
/* Computes the prevalence limit for each combination k of the dummy covariates by calling prevalim(k) */ |
| prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear); |
prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear); |
| fclose(ficrespl); |
fclose(ficrespl); |
| |
|
| /*------------- h Pij x at various ages ------------*/ |
/*------------- h Pij x at various ages ------------*/ |
| /*#include "hpijx.h"*/ |
/*#include "hpijx.h"*/ |
| |
/** h Pij x Probability to be in state j at age x+h being in i at x, for each combination k of dummies in the model line or to nres?*/ |
| |
/* calls hpxij with combination k */ |
| hPijx(p, bage, fage); |
hPijx(p, bage, fage); |
| fclose(ficrespij); |
fclose(ficrespij); |
| |
|
| /* ncovcombmax= pow(2,cptcoveff); */ |
/* ncovcombmax= pow(2,cptcoveff); */ |
| /*-------------- Variance of one-step probabilities---*/ |
/*-------------- Variance of one-step probabilities for a combination ij or for nres ?---*/ |
| k=1; |
k=1; |
| varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); |
varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); |
| |
|
|
Line 12710 Please run with mle=-1 to get a correct
|
Line 14122 Please run with mle=-1 to get a correct
|
| fprintf(ficreseij,"\n#****** "); |
fprintf(ficreseij,"\n#****** "); |
| printf("\n#****** "); |
printf("\n#****** "); |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
| printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); |
| } |
} |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
printf(" V%d=%lg ",TvarsQ[j], TinvDoQresult[nres][TvarsQ[j]]); /* TvarsQ[j] gives the name of the jth quantitative (fixed or time v) */ |
| fprintf(ficreseij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficreseij,"V%d=%lg ",TvarsQ[j], TinvDoQresult[nres][TvarsQ[j]]); |
| } |
} |
| fprintf(ficreseij,"******\n"); |
fprintf(ficreseij,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| |
|
| eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); |
| oldm=oldms;savm=savms; |
oldm=oldms;savm=savms; |
| |
/* printf("HELLO Entering evsij bage=%d fage=%d k=%d estepm=%d nres=%d\n",(int) bage, (int)fage, k, estepm, nres); */ |
| evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres); |
evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres); |
| |
|
| free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); |
|
Line 12732 Please run with mle=-1 to get a correct
|
Line 14145 Please run with mle=-1 to get a correct
|
| |
|
| |
|
| /*---------- State-specific expectancies and variances ------------*/ |
/*---------- State-specific expectancies and variances ------------*/ |
| |
/* Should be moved in a function */ |
| strcpy(filerest,"T_"); |
strcpy(filerest,"T_"); |
| strcat(filerest,fileresu); |
strcat(filerest,fileresu); |
| if((ficrest=fopen(filerest,"w"))==NULL) { |
if((ficrest=fopen(filerest,"w"))==NULL) { |
|
Line 12771 Please run with mle=-1 to get a correct
|
Line 14184 Please run with mle=-1 to get a correct
|
| i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ |
i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ |
| if (cptcovn < 1){i1=1;} |
if (cptcovn < 1){i1=1;} |
| |
|
| for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++) /* For each resultline, find the combination and output results according to the values of dummies and then quanti. */ |
| for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ |
for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying. For each nres and each value at position k |
| if(i1 != 1 && TKresult[nres]!= k) |
* we know Tresult[nres][result_position]= value of the dummy variable at the result_position in the nres resultline |
| |
* Tvqresult[nres][result_position]= id of the variable at the result_position in the nres resultline |
| |
* and Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */ |
| |
/* */ |
| |
if(i1 != 1 && TKresult[nres]!= k) /* TKresult[nres] is the combination of this nres resultline. All the i1 combinations are not output */ |
| continue; |
continue; |
| printf("\n#****** Result for:"); |
printf("\n# model %s \n#****** Result for:", model); |
| fprintf(ficrest,"\n#****** Result for:"); |
fprintf(ficrest,"\n# model %s \n#****** Result for:", model); |
| fprintf(ficlog,"\n#****** Result for:"); |
fprintf(ficlog,"\n# model %s \n#****** Result for:", model); |
| for(j=1;j<=cptcoveff;j++){ |
/* It might not be a good idea to mix dummies and quantitative */ |
| printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* for(j=1;j<=cptcoveff;j++){ /\* j=resultpos. Could be a loop on cptcovs: number of single dummy covariate in the result line as well as in the model *\/ */ |
| fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
for(j=1;j<=cptcovs;j++){ /* j=resultpos. Could be a loop on cptcovs: number of single covariate (dummy or quantitative) in the result line as well as in the model */ |
| fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /\* Output by variables in the resultline *\/ */ |
| } |
/* Tvaraff[j] is the name of the dummy variable in position j in the equation model: |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
* Tvaraff[1]@9={4, 3, 0, 0, 0, 0, 0, 0, 0}, in model=V5+V4+V3+V4*V3+V5*age |
| printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
* (V5 is quanti) V4 and V3 are dummies |
| fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
* TnsdVar[4] is the position 1 and TnsdVar[3]=2 in codtabm(k,l)(V4 V3)=V4 V3 |
| fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
* l=1 l=2 |
| } |
* k=1 1 1 0 0 |
| |
* k=2 2 1 1 0 |
| |
* k=3 [1] [2] 0 1 |
| |
* k=4 2 2 1 1 |
| |
* If nres=1 result: V3=1 V4=0 then k=3 and outputs |
| |
* If nres=2 result: V4=1 V3=0 then k=2 and outputs |
| |
* nres=1 =>k=3 j=1 V4= nbcode[4][codtabm(3,1)=1)=0; j=2 V3= nbcode[3][codtabm(3,2)=2]=1 |
| |
* nres=2 =>k=2 j=1 V4= nbcode[4][codtabm(2,1)=2)=1; j=2 V3= nbcode[3][codtabm(2,2)=1]=0 |
| |
*/ |
| |
/* Tvresult[nres][j] Name of the variable at position j in this resultline */ |
| |
/* Tresult[nres][j] Value of this variable at position j could be a float if quantitative */ |
| |
/* We give up with the combinations!! */ |
| |
/* if(debugILK) */ |
| |
/* printf("\n j=%d In computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d Fixed[modelresult[nres][j]]=%d\n", j, nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff,Fixed[modelresult[nres][j]]); /\* end if dummy or quanti *\/ */ |
| |
|
| |
if(Dummy[modelresult[nres][j]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to j in resultline */ |
| |
printf("V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
fprintf(ficlog,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
fprintf(ficrest,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */ |
| |
if(Fixed[modelresult[nres][j]]==0){ /* Fixed */ |
| |
printf("fixed ");fprintf(ficlog,"fixed ");fprintf(ficrest,"fixed "); |
| |
}else{ |
| |
printf("varyi ");fprintf(ficlog,"varyi ");fprintf(ficrest,"varyi "); |
| |
} |
| |
/* fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| |
/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| |
}else if(Dummy[modelresult[nres][j]]==1){ /* Quanti variable */ |
| |
/* For each selected (single) quantitative value */ |
| |
printf(" V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]); |
| |
fprintf(ficlog," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]); |
| |
fprintf(ficrest," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]); |
| |
if(Fixed[modelresult[nres][j]]==0){ /* Fixed */ |
| |
printf("fixed ");fprintf(ficlog,"fixed ");fprintf(ficrest,"fixed "); |
| |
}else{ |
| |
printf("varyi ");fprintf(ficlog,"varyi ");fprintf(ficrest,"varyi "); |
| |
} |
| |
}else{ |
| |
printf("Error in computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d \n", nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff); /* end if dummy or quanti */ |
| |
fprintf(ficlog,"Error in computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d \n", nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff); /* end if dummy or quanti */ |
| |
exit(1); |
| |
} |
| |
} /* End loop for each variable in the resultline */ |
| |
/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value *\/ */ |
| |
/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /\* Wrong j is not in the equation model *\/ */ |
| |
/* fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */ |
| |
/* } */ |
| fprintf(ficrest,"******\n"); |
fprintf(ficrest,"******\n"); |
| fprintf(ficlog,"******\n"); |
fprintf(ficlog,"******\n"); |
| printf("******\n"); |
printf("******\n"); |
| |
|
| fprintf(ficresstdeij,"\n#****** "); |
fprintf(ficresstdeij,"\n#****** "); |
| fprintf(ficrescveij,"\n#****** "); |
fprintf(ficrescveij,"\n#****** "); |
| |
/* It could have been: for(j=1;j<=cptcoveff;j++) {printf("V=%d=%lg",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);} */ |
| |
/* But it won't be sorted and depends on how the resultline is ordered */ |
| for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
| fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresstdeij,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); |
| fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
/* fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| } |
/* fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */ |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
} |
| fprintf(ficresstdeij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value, TvarsQind gives the position of a quantitative in model equation */ |
| fprintf(ficrescveij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
fprintf(ficresstdeij," V%d=%lg ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]); |
| |
fprintf(ficrescveij," V%d=%lg ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]); |
| } |
} |
| fprintf(ficresstdeij,"******\n"); |
fprintf(ficresstdeij,"******\n"); |
| fprintf(ficrescveij,"******\n"); |
fprintf(ficrescveij,"******\n"); |
|
Line 12808 Please run with mle=-1 to get a correct
|
Line 14274 Please run with mle=-1 to get a correct
|
| fprintf(ficresvij,"\n#****** "); |
fprintf(ficresvij,"\n#****** "); |
| /* pstamp(ficresvij); */ |
/* pstamp(ficresvij); */ |
| for(j=1;j<=cptcoveff;j++) |
for(j=1;j<=cptcoveff;j++) |
| fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresvij,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); |
| |
/* fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[TnsdVar[Tvaraff[j]]])]); */ |
| for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ |
| fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); |
/* fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); /\* To solve *\/ */ |
| |
fprintf(ficresvij," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /* Solved */ |
| } |
} |
| fprintf(ficresvij,"******\n"); |
fprintf(ficresvij,"******\n"); |
| |
|
|
Line 12841 Please run with mle=-1 to get a correct
|
Line 14309 Please run with mle=-1 to get a correct
|
| fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav); |
fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav); |
| else |
else |
| fprintf(ficrest,"the age specific forward period (stable) prevalences in each health state \n"); |
fprintf(ficrest,"the age specific forward period (stable) prevalences in each health state \n"); |
| fprintf(ficrest,"# Age popbased mobilav e.. (std) "); |
fprintf(ficrest,"# Age popbased mobilav e.. (std) "); /* Adding covariate values? */ |
| for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); |
for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); |
| fprintf(ficrest,"\n"); |
fprintf(ficrest,"\n"); |
| /* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ |
/* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ |
|
Line 12888 Please run with mle=-1 to get a correct
|
Line 14356 Please run with mle=-1 to get a correct
|
| printf("done selection\n");fflush(stdout); |
printf("done selection\n");fflush(stdout); |
| fprintf(ficlog,"done selection\n");fflush(ficlog); |
fprintf(ficlog,"done selection\n");fflush(ficlog); |
| |
|
| } /* End k selection */ |
} /* End k selection or end covariate selection for nres */ |
| |
|
| printf("done State-specific expectancies\n");fflush(stdout); |
printf("done State-specific expectancies\n");fflush(stdout); |
| fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog); |
fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog); |
| |
|
| /* variance-covariance of forward period prevalence*/ |
/* variance-covariance of forward period prevalence */ |
| varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff); |
varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff); |
| |
|
| |
|
| free_vector(weight,firstobs,lastobs); |
free_vector(weight,firstobs,lastobs); |
| |
free_imatrix(Tvardk,1,NCOVMAX,1,2); |
| free_imatrix(Tvard,1,NCOVMAX,1,2); |
free_imatrix(Tvard,1,NCOVMAX,1,2); |
| free_imatrix(s,1,maxwav+1,firstobs,lastobs); |
free_imatrix(s,1,maxwav+1,firstobs,lastobs); |
| free_matrix(anint,1,maxwav,firstobs,lastobs); |
free_matrix(anint,1,maxwav,firstobs,lastobs); |
|
Line 12922 Please run with mle=-1 to get a correct
|
Line 14391 Please run with mle=-1 to get a correct
|
| free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); |
| if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,firstobs,lastobs); |
/* if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,firstobs,lastobs); */ |
| |
if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,ncovcol+nqv+1,ncovcol+nqv+ntv+nqtv,firstobs,lastobs); |
| if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,firstobs,lastobs); |
if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,firstobs,lastobs); |
| if(nqv>=1)free_matrix(coqvar,1,nqv,firstobs,lastobs); |
if(nqv>=1)free_matrix(coqvar,1,nqv,firstobs,lastobs); |
| free_matrix(covar,0,NCOVMAX,firstobs,lastobs); |
free_matrix(covar,0,NCOVMAX,firstobs,lastobs); |
|
Line 12945 Please run with mle=-1 to get a correct
|
Line 14415 Please run with mle=-1 to get a correct
|
| free_ivector(TvarsQ,1,NCOVMAX); |
free_ivector(TvarsQ,1,NCOVMAX); |
| free_ivector(TvarsQind,1,NCOVMAX); |
free_ivector(TvarsQind,1,NCOVMAX); |
| free_ivector(TvarsD,1,NCOVMAX); |
free_ivector(TvarsD,1,NCOVMAX); |
| |
free_ivector(TnsdVar,1,NCOVMAX); |
| free_ivector(TvarsDind,1,NCOVMAX); |
free_ivector(TvarsDind,1,NCOVMAX); |
| free_ivector(TvarFD,1,NCOVMAX); |
free_ivector(TvarFD,1,NCOVMAX); |
| free_ivector(TvarFDind,1,NCOVMAX); |
free_ivector(TvarFDind,1,NCOVMAX); |
|
Line 12960 Please run with mle=-1 to get a correct
|
Line 14431 Please run with mle=-1 to get a correct
|
| free_ivector(TvarVDind,1,NCOVMAX); |
free_ivector(TvarVDind,1,NCOVMAX); |
| free_ivector(TvarVQ,1,NCOVMAX); |
free_ivector(TvarVQ,1,NCOVMAX); |
| free_ivector(TvarVQind,1,NCOVMAX); |
free_ivector(TvarVQind,1,NCOVMAX); |
| |
free_ivector(TvarVV,1,NCOVMAX); |
| |
free_ivector(TvarVVind,1,NCOVMAX); |
| |
|
| free_ivector(Tvarsel,1,NCOVMAX); |
free_ivector(Tvarsel,1,NCOVMAX); |
| free_vector(Tvalsel,1,NCOVMAX); |
free_vector(Tvalsel,1,NCOVMAX); |
| free_ivector(Tposprod,1,NCOVMAX); |
free_ivector(Tposprod,1,NCOVMAX); |
| free_ivector(Tprod,1,NCOVMAX); |
free_ivector(Tprod,1,NCOVMAX); |
| free_ivector(Tvaraff,1,NCOVMAX); |
free_ivector(Tvaraff,1,NCOVMAX); |
| free_ivector(invalidvarcomb,1,ncovcombmax); |
free_ivector(invalidvarcomb,0,ncovcombmax); |
| free_ivector(Tage,1,NCOVMAX); |
free_ivector(Tage,1,NCOVMAX); |
| free_ivector(Tmodelind,1,NCOVMAX); |
free_ivector(Tmodelind,1,NCOVMAX); |
| free_ivector(TmodelInvind,1,NCOVMAX); |
free_ivector(TmodelInvind,1,NCOVMAX); |
| free_ivector(TmodelInvQind,1,NCOVMAX); |
free_ivector(TmodelInvQind,1,NCOVMAX); |
| |
|
| |
free_matrix(precov, 1,MAXRESULTLINESPONE,1,NCOVMAX+1); /* Could be elsewhere ?*/ |
| |
|
| free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); |
free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); |
| /* free_imatrix(codtab,1,100,1,10); */ |
/* free_imatrix(codtab,1,100,1,10); */ |
| fflush(fichtm); |
fflush(fichtm); |
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