Annotation of imach/src/imach.exe, revision 1.5

1.1       lievre      1: MZ@ !&L!This program cannot be run in DOS mode.

1.5     ! lievre      2: $PEL&߲<&B&8Z&p&@&&&.textS&T& `.dataXp&X&@.bss&.idata&Z& .stabP&`&R.stabstr       &h&BU8pAPEPhpAhpAR&]ÐU<pAt~@AHAt<pAPR=R&P<R&HA t<pAPRR&PR&HA@t<pAPRQ&PQ&]ÉUVS1E1ۋ=w=s[=tv=tE=tCjjQ&&uj&jkQ&YtTjF&jjGQ&&uj&j3Q&tQ&tjЍe[^]vUSh@R&P&Sr8APpAPpAPjà P&SQ&vU1]ÍvU]ERREUR ...
1.1       lievre      3: %s
1.5     ! lievre      4: allocation failure in vectorallocation failure in ivectorallocation failure 1 in matrix()allocation failure 2 in matrix()allocation failure 3 in matrix()vU<WVS}E)P&UU+UBUU+UBUP-P&ƃu@h@HA@PP&hh@h@HA@PP& j&O&]])ƃPO&u?h@HA@PO&h@h@HA@PO& j&O&PO&E)‰EUBMEU;MET&‰A;M~]P%O&‹MuAh@HA@PO&h@h@HA@PN& j&N&v]U)U;UM\&ˉB;U~M;MP}}}D]}<<A&UE;U]|&߉<B;U~M;M~e[^_].Too many iterations in brentv?|=ŋ!r?UVSEE$EEʋu ]EEUEuUUE&u]U]&$}UȃU]mEEE
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1.1       lievre      8: Powell iter=%d -2*LL=%.12f %d %.12f
1.5     ! lievre      9: %dpowell exceeding maximum iterations.vU\WVSuE]SD&E܃u@h@HA@PD&h@h@HA@PD& j&D&SD&E؃uAh@HA@PD&h@h@HA@PdD& j&OD&vS;D&ǃu>h@HA@P,D&h@h@HA@PD& j&C&SC&Eԃu}h@HA@PC&h@h@HA@PC& j&C&vWC&EԃPC&U؃RqC&M܃QbC&EPU$ҋM &9vEMB9~E&U &UEEE$UPh@vM$Sh9@CB&9~&hC@B&E]9C&&E9MB9~E ShE@}eB&HA PLB& U$RM QVWEPm U "UEu]]؋]9sU EE]EMNU:u?h@HA@PA&hH@h@HA@PA& j&A&&9,vMEɋMB9~׃EPU$҃UE&U EEe AE@tE AE@tMEuFU$RM QVWEPt& 9$MMȋM׋B9~؋E^e[^_]ÍI@(@U#@&WVSE$]pAEE&9pdUE&&ЍQ&H9=UUdu9uD?DC9~ЉEH&9~EE?A5#@ݕxÈ@UlM E&MUЋ5A9u]ЀA]=A}lALvM}M,L}EEE9u~E&
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1.3       lievre     13: 
1.1       lievre     14: #Number of iterations = %d, -2 Log likelihood = %.12f
1.5     ! lievre     15: &#Number of iterations = %d, -2 Log likelihood = %.12f 
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1.1       lievre     17: Calculation of the hessian matrix. Wait...
                     18: .%d%d'
                     19: Inverting the hessian to get the covariance matrix. Wait...
                     20: 
                     21: #Hessian matrix#
1.5     ! lievre     22: %.3e U<WVSuEF]P-&Eu?h@HA@P-&hh@h@HA@Pf-& j&Q-&]ۍP2-&UB]Ѕu>h@HA@P-&h@h@HA@P&-& j&,&M]Auԉ];EUM\&Ӊ@;E~&h(5@,&;uKVhE@z,&HA Pa,& EPVuuUR?M F;u~&;unv&~&;]Wv9~JSVhU5@
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1.3       lievre     24: v@<@E&tE&uJP<@
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1.5     ! lievre     26: "݅EU[^_]Í??U|WVSE}&PEݝUؐ
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        !            27: #Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf
1.1       lievre     28: 
1.2       lievre     29: #********** Variable V%d=%d **********
1.5     ! lievre     30: # Age Prev(%d) N(%d) NTotalAge %d %d.=%.0f loss[%d]=%.1f%% %d.=%.0f loss[%d]=NaNQ%% %d.=%.0f prev[%d]=%.1f%% %d.=%.0f prev[%d]=NaNQ%% %d %.5f %.0f %.0f %d NaNq %.0f %.0f %d%d=%.0f(@|=Y@h㈵>U&WVSE8]E@]EH]EP]EX]E`ݝxEhݝpEpUݝhDžHDžLDž@DžDP&8u?h@HA@Py&h@h@HA@P^& j&I&]jj&jj&hj& A C@fEEPS&hC@S&< uShC@&j&v]SMQEpAPjPjFP Dž\5pAT=ADžT&},G&EDž`&PT9`V
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        !            34: j=%d num=%d 
        !            35: Delay (in months) between two waves Min=%d Max=%d Mean=%f
        !            36: 
        !            37:  v@p@(@?U<WV&SEEE@A&pAtA0A;}(EU G&EBM;E,&~E]M;U$|ً]M,9~E]M]EuWAPh[@t&};}(u&;}(!vE&W&UM];&\@}0UM&]UMD],9E\@E&;&UɋM]\@$}y&}fEf
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        !            38: ~JpA[^_]# Health expectancies
        !            39: # Age %1d-%1d%3.0f %9.4fv@`@(@?UlWV&Sh:a@AP&&hQa@AP&& ;}3G&&E;]SWChWa@AP&&;]~};}~̓hC@APz&&E]E ]yE]pa@e&
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        !            40:  Cov(e%1d, e%1d)%.0f  %.4f&@`@(@?U&WVSE$]&E,]E@]hd@ЁAPFhQa@ЁAP3 ;]5v&{&;uvVSFhd@ЁAP;u~;]~΃hC@ЁAPpA@PEu@h@HA@Ph@h@HA@P j&~]C=pAPZEu@h@HA@PJhh@h@HA@P/ j&EǍPUBuAh@HA@Ph@h@HA@P j&vMAu;Ev}L&щ@;E~PjEu@h@HA@PZhh@h@HA@P? j&*P]Cu?h@HA@Ph@h@HA@P j&uF;EU}L&щ@;E~EEEܙ} UE]È@d@ed@E ʃe@$۽@۽0}fUffUm]Mmۭ@ۭ0È@sE&ȃ}܉EPjEpAPj&Pj&k EȃURj&pAPj&MQjIuEЃ ]CPEu?h@HA@Phh@h@HA@Pf j&Q؃EEP.}u>h@HA@Ph@h@HA@P& j&UMuЃ&xu;UM}t&Ή4B;U~PEu@h@HA@Phh@h@HA@Po j&Z]EP8}u@h@HA@P&h@h@HA@P j&U&t;EUM\&Ӊ@;E~E&pA9Eu&F|94pA};]uUMvuC9~؃}HWE8PU4RM Q]SuV}WuuEPURK0MHQuu]8Su4Vuu}WEPU<R蔷0=pA&uK&;]AE}fMffMm]um
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        !            41:  %.5f (%.5f)@`@(@?UWVSE$]&E,]E@]ht@@APhQa@@AP ;]vSShWa@C@AP;]~hC@@APpA@PEԃu?h@HA@Puh@h@HA@PZ j&E]C=pAP"EЃ]uAh@HA@Phh@h@HA@P j&vEǍPUЃBuAh@HA@Ph@h@HA@P j&{vMЉAu;Ev]ЋL&щ@;E~EP/ẼuAh@HA@Phh@h@HA@P j&vP]̃Cu?h@HA@Ph@h@HA@P j&ủF;EUM̋\&Ӊ@;E~E5@t@eHt@E ʃPt@$}}؃5pAPEȃu?h@HA@Phh@h@HA@P j&EPUȃBuAh@HA@Ph@h@HA@Px j&cvMȉA9Uv]ȋL&щ@9~uV Eău>h@HA@Ph@h@HA@P j&VEuAh@HA@Ph@h@HA@P j&vpA&9[&&w&9/pAU9uMUMC9~؃]HSuuE8PU4Ruu؋MQ]SE<&P蠩0;]U<MċC;]~&pA9,vU9uMU$MC9~؃]HSuuE8PU4Ruu؋MQ]SE<&P0;]U<MC;]~&;].Pt@vMċUًMU$4C;]~؉5pA9EPEu@h@HA@Phh@h@HA@P j&EƍPMAuAh@HA@Ph@h@HA@Px j&cv]C;EuL&щ@;E~&;M>5pAY&&|9E]ȋG9~鋍|;M~ʻ&;];E}fuffum]UmMDC;]~=pAE&]9]~E&@E9aU&MЋDF&E93UEЋEUllC9~΋u9~MM]9~5pA&u;}{vG&&E;u`U̍N&&DM;]3vE̋UЋhUȋhC;]~Ћu;u~};}~&;]:E}fuffum]MmvEűC;]~&uuhd@@AP1;]E}fEf
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1.4       lievre     42: t&'Computing variance of one-step probabilities: result on file '%s' 
                     43: 
1.5     ! lievre     44: %d %.3e %.3e t&?UL&WVSEݝ`pE$ݝX~@pE~@tPSkhC@S`A uSh~@Sh~@pA@P@u@h@HA@Ph@h@HA@Pg j&R]pAۋ5pAP&<uAh@HA@Phh@h@HA@P j&v؃ƍP<Bu?h@HA@Ph@h@HA@P j&}<A9v<L&щ@9~]pAۍP(8u?h@HA@Phh@h@HA@P j&؃P8Fu?h@HA@Ph@h@HA@P j&8B9v8t&։4@9~݅`EE?#  v݅H]ЋpAP
4u@h@HA@Phh@h@HA@P j&k     P4BuAh@HA@Ph@h@HA@P| j&gv4uA9   4t&։4@9~pAj(0u?h@HA@P&hh@h@HA@P j&k       P0BuAh@HA@Ph@h@HA@P j&ov0Av0t&Ɖ4B     ~EpAP,u>h@HA@Ph@h@HA@P j&EpAP(u?h@HA@Ph@h@HA@P j&qDžD&pA9DlvD&B9<pAvM;Duu@@C9~؃]S@&VPAPPAPCDžTEpA &9j
AE&&Ѝ{&95‰T,ȋTA9~ڋE&9~&pA95U;DuM@$ዕ@C9~؃MQ@SPA&PVAPODžTEpA &9jAE&&Ѝ{&95T(ȋTA9~ڋE&9~E&pA9A@@‹D4,Dً($ًM4C9~؋D=pA9E&pA9k$5pAA&DžD&9D*0D4FD9~׋;$~Dž & &@9w &<DF&9; <0UC9~ŋ9~         ^pA&G&&8N&&D;>8<4C;~ċ    ~      jMQ]SPA&PVAPZDžTEpA &9iAE&&Ѝ{&95T(ȋTA9~ڋE&9~݅Hٽnfnffl٭l۝hh٭n&Ph,@`APE}u78B@$(A$h1@`AP u78F@ $(@ $h1@`AP ECpAP9p,R](QK0CP6S-4 FPV ܅HݕHܝXÈ@@R`AP[^_].htmProblem with %s 
        !            45: <body><ul> <font size="6">Imach, Version 0.71 </font> <hr size="2" color="#EC5E5E"> 
        !            46: Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>
        !            47: 
        !            48: Total number of observations=%d <br>
        !            49: Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>
        !            50: <hr  size="2" color="#EC5E5E"> 
        !            51: <li>Outputs files<br><br>
        !            52: 
        !            53:         - Observed prevalence in each state: <a href="p%s">p%s</a> <br>
1.1       lievre     54: 
1.5     ! lievre     55: - Estimated parameters and the covariance matrix: <a href="%s">%s</a> <br>
        !            56:         - Stationary prevalence in each state: <a href="pl%s">pl%s</a> <br>
        !            57:         - Transition probabilities: <a href="pij%s">pij%s</a><br>
        !            58:         - Copy of the parameter file: <a href="o%s">o%s</a><br>
        !            59:         - Life expectancies by age and initial health status: <a href="e%s">e%s</a> <br>
        !            60:         - Variances of life expectancies by age and initial health status: <a href="v%s">v%s</a><br>
        !            61:         - Health expectancies with their variances: <a href="t%s">t%s</a> <br>
        !            62:         - Standard deviation of stationary prevalences: <a href="vpl%s">vpl%s</a> <br>
        !            63:         - Prevalences forecasting: <a href="f%s">f%s</a> <br>
        !            64:         - Population forecasting (if popforecast=1): <a href="pop%s">pop%s</a> <br>
        !            65:        <br> <li>Graphs</li><p><hr  size="2" color="#EC5E5E">************ Results for covariates V%d=%d  ************
        !            66: <hr size="2" color="#EC5E5E"><br>- Probabilities: pe%s%d.gif<br>
        !            67: <img src="pe%s%d.gif">t&<br>- Prevalence of disability : p%s%d%d.gif<br>
        !            68: <img src="p%s%d%d.gif"><br>- Observed and stationary prevalence (with confident
        !            69: interval) in state (%d): v%s%d%d.gif <br>
        !            70: <img src="v%s%d%d.gif">t&
        !            71: <br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.gif <br>
        !            72: <img src="exp%s%d%d.gif">'
        !            73: <br>- Total life expectancy by age and
        !            74: health expectancies in states (1) and (2): e%s%d.gif<br>
        !            75: <img src="e%s%d.gif">
        !            76: </body>U,WVSu@]}DE<PV-h@V hC@VEuVh@jSSSSSSSSSSSSSSSSSSWWSSpA$E0PE,PE(PE$PE PEPEPEPEPEPhȋ@URĐhs@MQmpAA=AA&A@&E&EE;AfM&AAM2BEU=A~j&h@EP3UA5A
APPGhʐ@MQ;=pA~h@EPUR&h>@M<QPEPh>@U<RPh(@MQ?EPWh>@U<RPMQWGh>@E<PPhh@UR         ;=pA|&;=pASMQWh>@E<PgPURWh>@M<QMPWhȑ@GEP0;=pA~&;=pASURWh>@M<QPEPWh>@U<RPWhH@GMQI0;=pA~EPh>@U<RPMQh>@E<PPhȒ@UR h?@MQUAM;EE;AURbe[^_].pltProblem with file %scd "%s" 
        !            77: &set xlabel "Age" 
1.1       lievre     78: set ylabel "Probability" 
                     79: set ter gif small size 400,300
                     80: plot [%.f:%.f] "vpl%s" every :::%d::%d u 1:2 "%%lf %%lf (%%lf) %%*lf (%%*lf)" t"Stationary prevalence" w l 0,"vpl%s" every :::%d::%d u 1:($2+2*$3) "%%lf" t"95%% CI" w l 1,"vpl%s" every :::%d::%d u 1:($2-2*$3) "%%lf" t"" w l 1,"p%s" every :::%d::%d u 1:($%d) t"Observed prevalence " w l 2
                     81: set out "v%s%d%d.gif" 
                     82: replot
                     83: 
                     84: set ylabel "Years" 
                     85: set ter gif small size 400,300
                     86: plot [%.f:%.f] "t%s" every :::%d::%d u 1:2 "%%lf" t"TLE" w l ," t"LE in state (%d)" w l ,"t%s" every :::%d::%d u 1:($2-$3*2) "%%lf" t"" w l 0,'"t%s" every :::%d::%d u 1:($2+$3*2) "%%lf" t"" w l 0v'
                     87: set out "e%s%d.gif" 
                     88: replot
                     89: 
                     90: set ter gif small size 400,300
                     91: plot [%.f:%.f] "e%s" every :::%d::%d u 1:%d t "e%d1" w l&,"e%s" every :::%d::%d u 1:%d t "e%d%d" w l
                     92: set out "exp%s%d%d.gif" 
                     93: replot
                     94: 
                     95: set xlabel "Age" 
                     96: set ylabel "Probability" 
                     97: set ter gif small size 400,300
                     98: plot [%.f:%.f] "pij%s" u ($1==%d ? ($3):1/0):($%d/($%d+$%d)) t"prev(%d,%d)" w lv,"pij%s" u ($1==%d ? ($3):1/0):($%d/($%d)) t"prev(%d,%d)" w l
                     99: set out "p%s%d%d.gif" 
                    100: replot
                    101: 
1.2       lievre    102: p%d=%f 
1.1       lievre    103: set ter gif small size 400,300
                    104: set log y
1.2       lievre    105: plot  [%.f:%.f]  exp(p%d+p%d*x+p%d*%d*x+p%d*%d)/(1+exp(p%d+p%d*x)) t "p%d%d" ,
1.1       lievre    106: set out "pe%s%d.gif" 
                    107: replot
                    108: 
1.5     ! lievre    109: @UlWVSE]E ]E(]]EPSYhܖ@S hC@SAuSh@E0P&h@APpAEE$@$}fEf
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        !           110: hҙ@AP]ԡpA@9aMQh>@EPDPh(@APUU؋M9E&E9E&Mؿ&pAAM9EHEvGЃUWREHPPURuuuuhH@APE&O&0ME;pA}7uv]CSWEEPVVURh@AP ];pA|ϋM؃QWh>@EPBPh@AP }pA96UU؋M9&E&E9E&Uؿ&BU;=pAT&GjPMQEPuuuuh(@APE&W&0UM;
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        !           111: 0};=pAMM؋E9E&E&pA9EE&]pAC9E~UBMԉU9MtU&;=PAHẼU4G$Ph(@APp ẼhC@APW;=PA~MMЋpApA9~]ԉ9_E&E9EuuuuhH@APE&ME&ApA M9UEE&EġpA&‰E@E9UUBEȉU9EEԿ@PURh@APsME&MȃM;=PAuԃuvWAM;uD;
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pAEEЉpA9E4UUȋpA9UMQh>@EP>Ph@AP蚺UŰM9rAP(e[^_]fProblem with forecast resultfile: %s
        !           112: Computing forecasting: result on file '%s' 
        !           113: # Estimated date of observed prevalence: %.lf/%.lf/%.lf 
        !           114: #************
        !           115: # StartingAge FinalAge P.%d
        !           116: # Forecasting at date %.lf/%.lf/%.lf 
        !           117:  %.f  %.3ft&@`@(@v@@@>@?U&WVSEEɃ]ݝxEPE`ݝ`ݝX݅xh@E$ݝhEEݝpE4E<]E,ݝ@݅p5p@܅@%(pAݕ@$$$AP0APAPAPЀAP@APpAP0APPAP]E$݅h}fUffUm]EmP蛦@PfES]S<hC@SnA uSh(@|Shh@k=pAuA&E}D&jj&jj&hj&f( ЄA݅hܕ`È@pA艕
 A5Aɿ&;x$w&&x;N}fUffUmە|m|(DCx;~ɋ;$~ܕ`È@?݅hx@ܕ`È@&pA@
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fEmە m‹ɍs& v( D&ڋNyɋ(}fUffUmUEmD؋;iʋ;ܕ`È@DžP&P]=APR(pA$蚳Eݝ0S
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APPGhʐ@APȲ;=pA~&h@AP襲h@AP蒲pA Wh      @GAPspApA9~DžTܝÈ@vhC@AP)ۅTE$|xtph(@AP݅@0}fUffUm]Mmh@*݅`݅h)R)‰UETBÈ@`@A1@$۽}fUffUm]EmPPjpApAPj&Pj&}`,0AAAALQPRAPpAPuhVPۭ$R,Qv0ۭ;AۅTh@݅@}fuffum۝m;uT؃EEA$hO@AP۽۽ۭۭɋpAK&п&pA9v&TvG&&9ЄA5 ApAxˍv}D&u:ˋ,}fuffumUEmڋD?,Ë}fuffum]EmɋHA;xbۅ݅@}fUffUm]Em9u7$hV@AP۽۽胮ۭۭ؋pAЋpA9;؋,A@P۽,FP V*h@)ۭR)U݅hEÈ@9؋TۅTܝÈ@=HpAAH; Ap&5 A;El}D&u0ЄAC@PCP SAP覬H[^_]popr&Problem with population file : %s
        !           118: %d %lf
        !           119:  [Population]&
1.1       lievre    120: 
1.5     ! lievre    121: # Forecasting at date %.lf/%.lf/%.lf 
        !           122:  %3.f  %15.2f@`@(@v@@@?U&WVSEEE]]ݝxE$E4E,ݝpݝhݝ`E<EPE`ʋ]ݝXݝPݝHjj&jj&hj&C[ jj&jj&hj&#[E(@ Eݝ(݅x50@܅(%(pAݕ($\Xd`AP0APAPAPЀAP@APpAP0APPAP݅h]E$݅p}fUffUm]EmP腙@PES]S)hC@S[@A uSh(@iShh@X=pAuA&}D&jj&jj&hj&Y ЄA݅pܕPÈ@pAh艕
 AdA`ɉ&;`dh8W&&8;N}fEf
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pAtAp5 Alɐ&;xP&tplx|vw&&;}fMffMmەm‹ɍvS&vT&Nyɋ}fMffMmUEmD؋;fʋ;|ܕPÈ@Dž@&@=A@}X&&h@U\R车AuM\Qh@Ȧj֦h迦ƃu>h@HA@P谦h5@h@HA@P蕦 j&耦^0h bu?h@HA@PUh@h@HA@P: j&%$h u?h@HA@Ph@h@HA@Pޥ j&ɥP~ &p       CVWh˶@APu߉@A&@A9}"0 ދ$C9| A&}lDž8&pAA8;<h@&@AP
        !           123: ݅H8@eݝ;=pAJv<A5A
APPGhʐ@@AP褤;=pA~&h@@AP聤hQa@@APnpA Wh @G@APOpApA9~ك}X&uhӶ@@AP$DžDvۅDE$uu|xh@@AP݅(*}f]ff]m]Mm(@݅P)݅pR )‰UEDBÈ@ @AH@$۽PԢ}fUffUm]]mؙ@SjpApAPj&Pj&kR0AAAA<QPRAPpAPuhVPۭP$SRhDž40ۭP94jۅD(@݅(}fMffMm]Em94uJ4EEA$h@@AP۽PۭP؋D&4&ۋpAF
pA9&DЄA Aw&&9苍8ʃ}D&u6ʋ}fuffumUEmD7‹}fuffum]Emʋ848C9kۅ݅(}fUffUm]Em94u7ɋ}fMffMmUEmɋ8؋9&93&D(@5ApAK&&89?}fuffumUEmʐʋ8G9~ۅ݅(}fEf
fEmUUm̋ۅ@ɋۅɋ8$<}f]ff]m]Emы89؋D݅(EE}fUffUm]Em94us&;=pAf}fMffMm]]m8G$h@@AP۽P*ۭP;=pA~49F@P۽PɝFP轝 V豝*(@)ۭPR)U݅pEÈ@؋D@DžD&ܝÈ@dۅDE$uu|xh@@AP݅( }fUffUm]Mm(@*݅P݅p)R)‰UEDBÈ@ @AH@$۽P}fUffUm]]mؙ@PjpApAPj&Pj&K0AAAA<QPRAPpAP]hSVۭP$PRaDž40ۭP94&ۅD(@݅(}f]ff]m۝m94uX4EEA$h@AP۽P۽@ۭ@ۭPɋ
pA&ȋ4pAB9
&D[w&&9`ʋ}fUffUmUEmD884C89~ۅ݅(}fUffUm]Em94u7$h@AP۽P۽@ڙۭ@ۭP؋
pAȋpA949K؋F@P۽PWFPK V?*(@)ۭPR)U݅pEÈ@؋DۅDܝÈ@8pAA8; AX& A;ElC}D&u0ЄAC@P\CPP SD}X&u?0P)$P PF@PFPۗ VϗB@P跗AP襗 S蓗@APJ[^_]ÐImach version 0.71, February 2002, INED-EUROREVES abcdev;@;@=@?@A@C@c
        !           124: %s
        !           125: Enter the parameter file name: %spathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s
        !           126: .txtProblem with optionfile %s
        !           127: oProblem with Output resultfile: %s
        !           128: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
        !           129: ftol=%lf stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d
        !           130: model=%s
        !           131: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
        !           132: ftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d
        !           133: model=%s
        !           134: %1d%1d %lf%le %le %.5leProblem writing new parameter file: %s
        !           135: #%s
        !           136: Problem with datafile: %s
        !           137: ageage*ageError. Non available option model=%s Warning negative age at death: %d line:%d
        !           138: Error: Wrong value in nlstate or ndeath
        !           139: Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f
1.1       lievre    140: 
1.5     ! lievre    141: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
        !           142: ftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d
        !           143: model=%s
        !           144: # Parameters
        !           145: %d%d %1d%1d %f # Scales
        !           146:  %.5e# Covariance
        !           147: %3dagemin=%lf agemax=%lf bage=%lf fage=%lf
        !           148: # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
        !           149: t&agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f
        !           150: begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf
        !           151: 'begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf
        !           152: pop_based=%d
        !           153: starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mov_average=%d
        !           154: starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mov_average=%d
        !           155: 
popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf
        !           156: popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf
        !           157: pl&Problem with Prev limit resultfile: %s
1.1       lievre    158: Computing prevalence limit: result on file '%s' 
                    159: #Prevalence limit
1.5     ! lievre    160: #Age %d-%d %.0f %.5fpijProblem with Pij resultfile: %s
1.1       lievre    161: Computing pij: result on file '%s' 
1.2       lievre    162: 
1.5     ! lievre    163: #****** %d %.0f %.0ft&Error %d!! You can only forecast the prevalences if the optimization
        !           164:   has been performed with stepm = 1 (month) instead of %d
        !           165: tProblem with total LE resultfile: %s
1.1       lievre    166: Computing Total LEs with variances: file '%s' 
                    167: Problem with Health Exp. resultfile: %s
                    168: Computing Health Expectancies: result on file '%s' 
                    169: v'Problem with variance resultfile: %s
                    170: Computing Variance-covariance of DFLEs: file '%s' 
                    171: #Total LEs with variances: e.. (std) e.%d (std)  %.0f %.2f (%.2f)vplProblem with variance prev lim resultfile: %s
                    172: Computing Variance-covariance of Prevalence limit: file '%s' 
1.5     ! lievre    173: End of Imach with error %d
1.1       lievre    174: End of Imach
1.5     ! lievre    175: ..\gp37mgw\wgnuplot 
        !           176: Type e to edit output files, c to start again, and q for exiting: ./imacht&@xD@xĻ|=X@@(@UUUUUU?@v@@`@?U<WVS@@ݝDž N@Dž
        !           177: ݕDžtݝDžƃfjjPH@ƃ`@Shb@s}&&Phh@WSh@      EP@PS^@PÉPtzt8#t+C8#t&C8#t!Cttt
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1.5     ! lievre    194: \xt&5678;<DE4HHRcS|WXYZ[\]"^;_Wilkmnopqtu1HY        Y     KXbYwZ[\^_bhI5 m ndTbAlibgcc2.c/cygnus/netrel/build/gcc-2.95.2-6/gcc//cygnus/netrel/src/gcc-2.95.2-6/gcc/libgcc2.cint:t(0,1)=r(0,1);0020000000000;0017777777777;char:t(0,2)=r(0,2);0;127;long int:t(0,3)=r(0,1);0020000000000;0017777777777;unsigned int:t(0,4)=r(0,1);0000000000000;0037777777777;long unsigned int:t(0,5)=r(0,1);0000000000000;0037777777777;long long int:t(0,6)=r(0,1);01000000000000000000000;0777777777777777777777;long long unsigned int:t(0,7)=r(0,1);0000000000000;01777777777777777777777;short int:t(0,8)=r(0,8);-32768;32767;short unsigned int:t(0,9)=r(0,9);0;65535;signed char:t(0,10)=r(0,10);-128;127;unsigned char:t(0,11)=r(0,11);0;255;float:t(0,12)=r(0,1);4;0;double:t(0,13)=r(0,1);8;0;long double:t(0,14)=r(0,1);12;0;complex int:t(0,15)=s8real:(0,1),0,32;imag:(0,1),32,32;;complex float:t(0,16)=r(0,16);4;0;complex double:t(0,17)=r(0,17);8;0;complex long double:t(0,18)=r(0,18);12;0;void:t(0,19)=(0,19)tconfig.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/gansidecl.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/../include/ansidecl.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/config/i386/xm-i386.htm.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/config/i386/cygwin.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/config/i386/gas.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/config/i386/i386.hprocessor_costs:T(8,1)=s28add:(0,1),0,32;lea:(0,1),32,32;shift_var:(0,1),64,32;shift_const:(0,1),96,32;mult_init:(0,1),128,32;mult_bit:(0,1),160,32;divide:(0,1),192,32;;processor_type:T(8,2)=ePROCESSOR_I386:0,PROCESSOR_I486:1,PROCESSOR_PENTIUM:2,PROCESSOR_PENTIUMPRO:3,PROCESSOR_K6:4,;reg_class:T(8,3)=eNO_REGS:0,AREG:1,DREG:2,CREG:3,BREG:4,AD_REGS:5,Q_REGS:6,SIREG:7,DIREG:8,INDEX_REGS:9,GENERAL_REGS:10,FP_TOP_REG:11,FP_SECOND_REG:12,FLOAT_REGS:13,ALL_REGS:14,LIM_REG_CLASSES:15,;i386_args:T(8,4)=s12words:(0,1),0,32;nregs:(0,1),32,32;regno:(0,1),64,32;;CUMULATIVE_ARGS:t(8,5)=(8,4)/cygnus/netrel/src/gcc-2.95.2-6/gcc/config/i386/bsd.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/config/i386/unix.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/config/dbxcoff.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/config/i386/xm-cygwin.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/stdlib.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/_ansi.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/sys/config.h__int32_t:t(15,1)=(0,1)__uint32_t:t(15,2)=(0,4)include/stddef.hsize_t:t(16,1)=(0,4)wchar_t:t(16,2)=(0,9)/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/sys/reent.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/time.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/machine/time.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/machine/types.hclock_t:t(18,1)=(0,5)time_t:t(18,2)=(0,3)tm:T(18,3)=s36tm_sec:(0,1),0,32;tm_min:(0,1),32,32;tm_hour:(0,1),64,32;tm_mday:(0,1),96,32;tm_mon:(0,1),128,32;tm_year:(0,1),160,32;tm_wday:(0,1),192,32;tm_yday:(0,1),224,32;tm_isdst:(0,1),256,32;;__ULong:t(17,1)=(15,2)_glue:T(17,2)=s12_next:(17,3)=*(17,2),0,32;_niobs:(0,1),32,32;_iobs:(17,4)=*(17,5)=xs__sFILE:,64,32;;_Bigint:T(17,6)=s24_next:(17,7)=*(17,6),0,32;_k:(0,1),32,32;_maxwds:(0,1),64,32;_sign:(0,1),96,32;_wds:(0,1),128,32;_x:(17,8)=ar(0,1);0;0;(17,1),160,32;;_atexit:T(17,9)=s136_next:(17,10)=*(17,9),0,32;_ind:(0,1),32,32;_fns:(17,11)=ar(0,1);0;31;(17,12)=*(17,13)=f(0,19),64,1024;;__sbuf:T(17,14)=s8_base:(17,15)=*(0,11),0,32;_size:(0,1),32,32;;_fpos_t:t(17,16)=(0,3)__sFILE:T(17,5)=s88_p:(17,15),0,32;_r:(0,1),32,32;_w:(0,1),64,32;_flags:(0,8),96,16;_file:(0,8),112,16;_bf:(17,14),128,64;_lbfsize:(0,1),192,32;_cookie:(17,17)=*(0,19),224,32;_read:(17,18)=*(17,19)=f(0,1),256,32;_write:(17,20)=*(17,21)=f(0,1),288,32;_seek:(17,22)=*(17,23)=f(17,16),320,32;_close:(17,24)=*(17,25)=f(0,1),352,32;_ub:(17,14),384,64;_up:(17,15),448,32;_ur:(0,1),480,32;_ubuf:(17,26)=ar(0,1);0;2;(0,11),512,24;_nbuf:(17,27)=ar(0,1);0;0;(0,11),536,8;_lb:(17,14),544,64;_blksize:(0,1),608,32;_offset:(0,1),640,32;_data:(17,28)=*(17,29)=xs_reent:,672,32;;_reent:T(17,29)=s752_errno:(0,1),0,32;_stdin:(17,4),32,32;_stdout:(17,4),64,32;_stderr:(17,4),96,32;_inc:(0,1),128,32;_emergency:(17,30)=ar(0,1);0;24;(0,2),160,200;_current_category:(0,1),384,32;_current_locale:(17,31)=*(0,2),416,32;__sdidinit:(0,1),448,32;__cleanup:(17,32)=*(17,33)=f(0,19),480,32;_result:(17,7),512,32;_result_k:(0,1),544,32;_p5s:(17,7),576,32;_freelist:(17,34)=*(17,7),608,32;_cvtlen:(0,1),640,32;_cvtbuf:(17,35)=*(0,2),672,32;_new:(17,36)=u240_reent:(17,37)=s88_unused_rand:(0,4),0,32;_strtok_last:(17,35),32,32;_asctime_buf:(17,38)=ar(0,1);0;25;(0,2),64,208;_localtime_buf:(18,3),288,288;_gamma_signgam:(0,1),576,32;_rand_next:(0,7),640,64;;,0,704;_unused:(17,39)=s240_nextf:(17,40)=ar(0,1);0;29;(17,15),0,960;_nmalloc:(17,41)=ar(0,1);0;29;(0,4),960,960;;,0,1920;;,704,1920;_atexit:(17,10),2624,32;_atexit0:(17,9),2656,1088;_sig_func:(17,42)=*(17,43)=*(17,44)=f(0,19),3744,32;__sglue:(17,2),3776,96;__sf:(17,45)=ar(0,1);0;2;(17,5),3872,2112;;div_t:t(13,1)=(13,2)=s8quot:(0,1),0,32;rem:(0,1),32,32;;ldiv_t:t(13,3)=(13,4)=s8quot:(0,3),0,32;rem:(0,3),32,32;;/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/unistd.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/sys/unistd.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.2-6/../../../../i686-pc-cygwin/include/sys/types.hptrdiff_t:t(25,1)=(0,1)wint_t:t(25,2)=(0,4)u_char:t(24,1)=(0,11)u_short:t(24,2)=(0,9)u_int:t(24,3)=(0,4)u_long:t(24,4)=(0,5)ushort:t(24,5)=(0,9)uint:t(24,6)=(0,4)daddr_t:t(24,7)=(0,3)caddr_t:t(24,8)=(17,35)ino_t:t(24,9)=(0,5)vm_offset_t:t(24,10)=(0,5)vm_size_t:t(24,11)=(0,5)int8_t:t(24,12)=(0,2)u_int8_t:t(24,13)=(0,11)int16_t:t(24,14)=(0,8)u_int16_t:t(24,15)=(0,9)int32_t:t(24,16)=(0,1)u_int32_t:t(24,17)=(0,4)int64_t:t(24,18)=(0,6)u_int64_t:t(24,19)=(0,7)register_t:t(24,20)=(24,16)dev_t:t(24,21)=(0,8)off_t:t(24,22)=(0,3)uid_t:t(24,23)=(0,9)gid_t:t(24,24)=(0,9)pid_t:t(24,25)=(0,1)key_t:t(24,26)=(0,3)ssize_t:t(24,27)=(0,3)addr_t:t(24,28)=(17,35)mode_t:t(24,29)=(0,1)nlink_t:t(24,30)=(0,9)fd_mask:t(24,31)=(0,3)_types_fd_set:T(24,32)=s8fds_bits:(24,33)=ar(0,1);0;1;(24,31),0,64;;_types_fd_set:t(24,34)=(24,32)/cygnus/netrel/src/gcc-2.95.2-6/gcc/machmode.h/cygnus/netrel/src/gcc-2.95.2-6/gcc/machmode.defmachine_mode:T(27,1)=eVOIDmode:0,PQImode:1,QImode:2,PHImode:3,HImode:4,PSImode:5,SImode:6,PDImode:7,DImode:8,TImode:9,OImode:10,QFmode:11,HFmode:12,TQFmode:13,SFmode:14,DFmode:15,XFmode:16,TFmode:17,QCmode:18,HCmode:19,SCmode:20,DCmode:21,XCmode:22,TCmode:23,CQImode:24,CHImode:25,CSImode:26,CDImode:27,CTImode:28,COImode:29,BLKmode:30,CCmode:31,CCFPEQmode:32,MAX_MACHINE_MODE:33,;mode_class:T(27,2)=eMODE_RANDOM:0,MODE_INT:1,MODE_FLOAT:2,MODE_PARTIAL_INT:3,MODE_CC:4,MODE_COMPLEX_INT:5,MODE_COMPLEX_FLOAT:6,MAX_MODE_CLASS:7,;/cygnus/netrel/src/gcc-2.95.2-6/gcc/defaults.hUQItype:t(0,20)=(0,11)SItype:t(0,21)=(0,1)USItype:t(0,22)=(0,4)DItype:t(0,23)=(0,6)UDItype:t(0,24)=(0,7)SFtype:t(0,25)=(0,12)DFtype:t(0,26)=(0,13)XFtype:t(0,27)=(0,14)word_type:t(0,28)=(0,1)DIstruct:T(0,29)=s8low:(0,21),0,32;high:(0,21),32,32;;DIunion:t(0,30)=(0,31)=u8s:(0,29),0,64;ll:(0,23),0,64;;/cygnus/netrel/src/gcc-2.95.2-6/gcc/gbl-ctors.hfunc_ptr:t(31,1)=(17,12)__CTOR_LIST__:G(0,32)=ar(0,1);0;1;(31,1)__DTOR_LIST__:G(0,32).fileg&crt1.c&&%& 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