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version 1.4, 2015/08/04 07:15:48
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version 1.5, 2015/08/18 16:43:19
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| Log filename:biaspar.log
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Log filename:biaspar.log |
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| Imach version 0.98q2, April 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015
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Imach version 0.98q5, August 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015 |
| $Revision$ $Date$
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$Revision$ $Date$ |
| Enter the parameter file name:
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Enter the parameter file name: |
| pathimach=Z:\imachcvs\NetBeans\imach\src\
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pathimach=/Users/nbrouard/Documents/imach/cvs/imach/build/osx/ |
| pathtot=Z:\imachcvs\NetBeans\imach\html\doc\biaspar.imach
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pathtot=html/doc/biaspar.imach |
| path=Z:\imachcvs\NetBeans\imach\html\doc\
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path=html/doc/ |
| optionfile=biaspar.imach
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optionfile=biaspar.imach |
| optionfilext=imach
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optionfilext=imach |
| optionfilefiname='biaspar'
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optionfilefiname='biaspar' |
| Compiled with: Intel ICC/ICPC Microsoft Visual Studio for Windows (x64 and x86) 32-bitThe programm is not running under WOW64 (i.e probably on a 64bit Windows).
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Local time (at start): Tue Aug 18 18:20:44 2015 |
| Local time (at start): Tue May 05 11:13:23 2015
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| # Imach version 0.98q2, April 2015, INED-EUROREVES
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# Imach version 0.98q2, April 2015, INED-EUROREVES
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| title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4
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title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4 |
| ftol=1.000000e-008 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle=1 weight=0
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ftol=1.000000e-08 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle=1 weight=0 |
| model=1+age+.
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model=1+age+. |
| # Parameters
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#q Parameters
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| 11 0.000000 0.000000
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12 -12.245240 0.092358 |
| 12 0.000000 0.000000
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13 -10.671890 0.060969 |
| 21 0.000000 0.000000
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21 -2.645345 -0.022325 |
| 22 0.000000 0.000000
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23 -4.773317 0.007859 |
| # Scales
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# Scales
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| 12 0.000000e+000 0.000000e+000
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12 0.000000e+00 0.000000e+00 |
| 13 0.000000e+000 0.000000e+000
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13 0.000000e+00 0.000000e+00 |
| 21 0.000000e+000 0.000000e+000
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21 0.000000e+00 0.000000e+00 |
| 23 0.000000e+000 0.000000e+000
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23 0.000000e+00 0.000000e+00 |
| #covariance matrix#
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#covariance matrix#
|
| 121 0.00000e+000
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|
| 122 0.00000e+000 0.00000e+000
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|
| 131 0.00000e+000 0.00000e+000 0.00000e+000
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|
| 132 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000
|
|
| 211 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000
|
|
| 212 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000
|
|
| 231 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000
|
|
| 232 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000
|
|
|
|
|
| Total number of individuals= 8270, Agemin = 70.00, Agemax= 104.17
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| Delay (in months) between two waves Min=1 (for indiviudal 6017) Max=74 (5168) Mean=24.040080
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|
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|
|
| Age 70 1.=665 loss[1]=5.1% 2.=0 loss[2]=NaNQ% 1.=631 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=34 11=563 12=33 13=35 33=6
|
|
| Age 71 1.=663 loss[1]=5.7% 2.=2 loss[2]=0.0% 1.=625 prev[1]=99.7% 2.=2 prev[2]=0.3% 1-1=38 11=530 12=47 13=48 21=1 22=1 3-1=2 33=31
|
|
| Age 72 1.=1181 loss[1]=5.6% 2.=35 loss[2]=5.7% 1.=1115 prev[1]=97.1% 2.=33 prev[2]=2.9% 1-1=66 11=969 12=70 13=76 2-1=2 21=9 22=18 23=6 3-1=2 33=87
|
|
| Age 73 1.=1119 loss[1]=5.1% 2.=48 loss[2]=8.3% 1.=1062 prev[1]=96.0% 2.=44 prev[2]=4.0% 1-1=57 11=912 12=71 13=79 2-1=4 21=12 22=26 23=6 3-1=12 33=94
|
|
| Age 74 1.=1563 loss[1]=4.2% 2.=90 loss[2]=4.4% 1.=1497 prev[1]=94.6% 2.=86 prev[2]=5.4% 1-1=66 11=1277 12=104 13=116 2-1=4 21=30 22=41 23=15 3-1=4 33=125
|
|
| Age 75 1.=1463 loss[1]=6.2% 2.=98 loss[2]=7.1% 1.=1372 prev[1]=93.8% 2.=91 prev[2]=6.2% 1-1=91 11=1155 12=98 13=119 2-1=7 21=15 22=55 23=21 3-1=4 33=124
|
|
| Age 76 1.=1390 loss[1]=4.5% 2.=112 loss[2]=3.6% 1.=1328 prev[1]=92.5% 2.=108 prev[2]=7.5% 1-1=62 11=1090 12=111 13=127 2-1=4 21=25 22=54 23=29 3-1=4 33=142
|
|
| Age 77 1.=1271 loss[1]=5.0% 2.=101 loss[2]=5.9% 1.=1208 prev[1]=92.7% 2.=95 prev[2]=7.3% 1-1=63 11=962 12=131 13=115 2-1=6 21=24 22=52 23=19 3-1=7 33=145
|
|
| Age 78 1.=1166 loss[1]=4.9% 2.=122 loss[2]=4.1% 1.=1109 prev[1]=90.5% 2.=117 prev[2]=9.5% 1-1=57 11=894 12=111 13=104 2-1=5 21=21 22=75 23=21 3-1=4 33=146
|
|
| Age 79 1.=1045 loss[1]=5.7% 2.=133 loss[2]=5.3% 1.=985 prev[1]=88.7% 2.=126 prev[2]=11.3% 1-1=60 11=773 12=109 13=103 2-1=7 21=31 22=68 23=27 3-1=8 33=136
|
|
| Age 80 1.=986 loss[1]=4.1% 2.=128 loss[2]=3.1% 1.=946 prev[1]=88.4% 2.=124 prev[2]=11.6% 1-1=40 11=718 12=140 13=88 2-1=4 21=21 22=71 23=32 3-1=6 33=121
|
|
| Age 81 1.=872 loss[1]=4.9% 2.=130 loss[2]=3.8% 1.=829 prev[1]=86.9% 2.=125 prev[2]=13.1% 1-1=43 11=629 12=102 13=98 2-1=5 21=24 22=74 23=27 3-1=5 33=126
|
|
| Age 82 1.=803 loss[1]=4.4% 2.=146 loss[2]=4.1% 1.=768 prev[1]=84.6% 2.=140 prev[2]=15.4% 1-1=35 11=546 12=131 13=91 2-1=6 21=15 22=77 23=48 3-1=11 33=100
|
|
| Age 83 1.=726 loss[1]=6.5% 2.=116 loss[2]=0.9% 1.=679 prev[1]=85.5% 2.=115 prev[2]=14.5% 1-1=47 11=456 12=124 13=99 2-1=1 21=19 22=71 23=25 3-1=8 33=133
|
|
| Age 84 1.=622 loss[1]=5.6% 2.=147 loss[2]=4.1% 1.=587 prev[1]=80.6% 2.=141 prev[2]=19.4% 1-1=35 11=394 12=112 13=81 2-1=6 21=18 22=82 23=41 3-1=5 33=114
|
|
| Age 85 1.=526 loss[1]=4.4% 2.=127 loss[2]=6.3% 1.=503 prev[1]=80.9% 2.=119 prev[2]=19.1% 1-1=23 11=315 12=122 13=66 2-1=8 21=13 22=67 23=39 3-1=4 33=137
|
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| Age 86 1.=464 loss[1]=5.2% 2.=130 loss[2]=6.2% 1.=440 prev[1]=78.3% 2.=122 prev[2]=21.7% 1-1=24 11=271 12=103 13=66 2-1=8 21=18 22=70 23=34 3-1=3 33=112
|
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| Age 87 1.=372 loss[1]=4.8% 2.=143 loss[2]=2.8% 1.=354 prev[1]=71.8% 2.=139 prev[2]=28.2% 1-1=18 11=219 12=79 13=56 2-1=4 21=15 22=71 23=53 3-1=1 33=81
|
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| Age 88 1.=283 loss[1]=3.9% 2.=164 loss[2]=6.7% 1.=272 prev[1]=64.0% 2.=153 prev[2]=36.0% 1-1=11 11=172 12=63 13=37 2-1=11 21=25 22=84 23=44 3-1=8 33=102
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|
| Age 89 1.=227 loss[1]=3.5% 2.=152 loss[2]=4.6% 1.=219 prev[1]=60.2% 2.=145 prev[2]=39.8% 1-1=8 11=135 12=45 13=39 2-1=7 21=21 22=73 23=51 3-1=2 33=77
|
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| Age 90 1.=181 loss[1]=3.9% 2.=143 loss[2]=4.9% 1.=174 prev[1]=56.1% 2.=136 prev[2]=43.9% 1-1=7 11=104 12=41 13=29 2-1=7 21=18 22=82 23=36 3-1=1 33=75
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|
| Age 91 1.=146 loss[1]=4.1% 2.=109 loss[2]=8.3% 1.=140 prev[1]=58.3% 2.=100 prev[2]=41.7% 1-1=6 11=78 12=36 13=26 2-1=9 21=11 22=51 23=38 3-1=3 33=77
|
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| Age 92 1.=114 loss[1]=6.1% 2.=101 loss[2]=2.0% 1.=107 prev[1]=51.9% 2.=99 prev[2]=48.1% 1-1=7 11=47 12=43 13=17 2-1=2 21=11 22=52 23=36 3-1=2 33=61
|
|
| Age 93 1.=78 loss[1]=3.8% 2.=89 loss[2]=12.4% 1.=75 prev[1]=49.0% 2.=78 prev[2]=51.0% 1-1=3 11=36 12=25 13=14 2-1=11 21=10 22=46 23=22 3-1=2 33=62
|
|
| Age 94 1.=51 loss[1]=3.9% 2.=71 loss[2]=1.4% 1.=49 prev[1]=41.2% 2.=70 prev[2]=58.8% 1-1=2 11=24 12=8 13=17 2-1=1 21=4 22=39 23=27 3-1=1 33=37
|
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| Age 95 1.=38 loss[1]=5.3% 2.=57 loss[2]=5.3% 1.=36 prev[1]=40.0% 2.=54 prev[2]=60.0% 1-1=2 11=16 12=13 13=7 2-1=3 21=4 22=31 23=19 3-1=1 33=39
|
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| Age 96 1.=25 loss[1]=4.0% 2.=43 loss[2]=4.7% 1.=24 prev[1]=36.9% 2.=41 prev[2]=63.1% 1-1=1 11=11 12=9 13=4 2-1=2 21=2 22=22 23=17 3-1=2 33=25
|
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| Age 97 1.=11 loss[1]=0.0% 2.=36 loss[2]=8.3% 1.=11 prev[1]=25.0% 2.=33 prev[2]=75.0% 11=4 12=7 2-1=3 21=2 22=22 23=9 33=23
|
|
| Age 98 1.=5 loss[1]=0.0% 2.=21 loss[2]=0.0% 1.=5 prev[1]=19.2% 2.=21 prev[2]=80.8% 11=1 12=4 21=1 22=13 23=7 3-1=1 33=17
|
|
| Age 99 1.=6 loss[1]=0.0% 2.=14 loss[2]=0.0% 1.=6 prev[1]=30.0% 2.=14 prev[2]=70.0% 11=3 12=1 13=2 21=2 22=2 23=10 33=6
|
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| Age 100 1.=2 loss[1]=0.0% 2.=9 loss[2]=0.0% 1.=2 prev[1]=18.2% 2.=9 prev[2]=81.8% 11=1 12=1 21=2 22=5 23=2 33=2
|
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| Age 101 1.=2 loss[1]=50.0% 2.=0 loss[2]=NaNQ% 1.=1 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=1 12=1 3-1=1 33=3
|
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| Age 102 1.=2 loss[1]=0.0% 2.=1 loss[2]=0.0% 1.=2 prev[1]=66.7% 2.=1 prev[2]=33.3% 12=2 22=1 33=1
|
|
| Age 103 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%
|
|
| Age 104 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%
|
|
| Age 105 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%
|
|
| Age 106 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% -1-1=69 -11=718 -12=195 -13=261
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|
| Total 1.=18068 loss[1]=5.0% 2.=2818 loss[2]=4.9% 1.=17161 prev[1]=86.5% 2.=2681 prev[2]=13.5% -1-1=69 -11=718 -12=195 -13=261 1-1=907 11=13305 12=2097 13=1759 2-1=137 21=424 22=1496 23=761 3-1=114 33=2567
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| Powell
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| Powell iter=1 -2*LL=429817.002238171520 0 sec. 0 sec. 1 0.000000000000 2 0.000000000000 3 0.000000000000 4 0.000000000000 5 0.000000000000 6 0.000000000000 7 0.000000000000 8 0.000000000000
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| Considering the time needed for this last iteration #1: 0 seconds,
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| - if your program needs 10 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e.
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| on Tue May 05 11:13:34 2015 (current time is Tue May 05 11:13:34 2015);
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| - if your program needs 20 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e.
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| on Tue May 05 11:13:34 2015 (current time is Tue May 05 11:13:34 2015);
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| - if your program needs 30 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e.
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| on Tue May 05 11:13:34 2015 (current time is Tue May 05 11:13:34 2015);
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| 1.....2................3..........4.....................5.....6............7........8..............................Gaining to use new average direction of P0 P8 instead of biggest increase direction 5 :
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| Powell iter=2 -2*LL=61164.969498491329 14 sec. 0 sec. 1 10.361177425153 2 -0.000405752275 3 -0.426051135866 4 0.000411058449 5 3.199377281172 6 -0.000133628129 7 -0.817385555710 8 0.000414645460
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| Considering the time needed for this last iteration #2: 14 seconds,
|
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| - if your program needs 10 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 1 minute(s) 52 second(s) i.e.
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| on Tue May 05 11:15:40 2015 (current time is Tue May 05 11:13:48 2015);
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| - if your program needs 20 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 4 minute(s) 12 second(s) i.e.
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| on Tue May 05 11:18:00 2015 (current time is Tue May 05 11:13:48 2015);
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| - if your program needs 30 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 6 minute(s) 32 second(s) i.e.
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| on Tue May 05 11:20:20 2015 (current time is Tue May 05 11:13:48 2015);
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| 1............2....................3......4..................5..................6.................7..........8........
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| Powell iter=3 -2*LL=58792.325287399166 43 sec. 0 sec. 1 5.025320473019 2 -0.001271522649 3 -2.292075301862 4 0.005675436950 5 3.064920310602 6 -0.003614340923 7 -1.082612744376 8 -0.006929410302
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|
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| Considering the time needed for this last iteration #3: 43 seconds,
|
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| - if your program needs 10 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 5 minute(s) 1 second(s) i.e.
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| on Tue May 05 11:19:32 2015 (current time is Tue May 05 11:14:31 2015);
|
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| - if your program needs 20 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 12 minute(s) 11 second(s) i.e.
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| on Tue May 05 11:26:42 2015 (current time is Tue May 05 11:14:31 2015);
|
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| - if your program needs 30 iterations to converge, convergence will be
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| reached in 0 day(s) 0 hour(s) 19 minute(s) 21 second(s) i.e.
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| on Tue May 05 11:33:52 2015 (current time is Tue May 05 11:14:31 2015);
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| 1.........2....................3.........4....................5..................6.................7...........8...............Gaining to use new average direction of P0 P8 instead of biggest increase direction 1 :
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| Powell iter=4 -2*LL=51671.511989744839 13 sec. 0 sec. 1 -0.738171836654 2 -0.005095967053 3 -6.249885480035 4 0.018850231372 5 2.760427678775 6 0.002137535586 7 -0.810125973911 8 -0.019962106000
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| 1........2................3..........4..................5.................6................7.................8..........
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| Powell iter=5 -2*LL=51564.973406501369 13 sec. 0 sec. 1 -0.640102693049 2 -0.004671488059 3 -6.355728607893 4 0.019354535332 5 2.794272826941 6 2.309115769305 7 1.799068527323 8 -4.254984576420
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| 1........2.............3.........4..................5.................6.................7.................8..........
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| Powell iter=6 -2*LL=51512.620168158559 12 sec. 0 sec. 1 -0.707671793492 2 -0.004043840434 3 -6.235710935103 4 0.019694131082 5 2.772348672077 6 4.883902697129 7 4.421901023083 8 -1.637606955042
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| 1........2.............3...................4..................5.................6...............7.................8..........
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| Powell iter=7 -2*LL=51497.973086223668 13 sec. 0 sec. 1 -0.748745600049 2 -0.003548201851 3 -6.280610560550 4 0.020192016944 5 2.776035786301 6 6.512481518851 7 7.040490669592 8 0.979620465528
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| 1........2.............3..........4..................5.................6..................7.................8........................Gaining to use new average direction of P0 P8 instead of biggest increase direction 8 :
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| Powell iter=8 -2*LL=51469.726224868631 15 sec. 0 sec. 1 -0.833574313562 2 -0.002535454468 3 -6.362935045791 4 0.021191220259 5 2.782030172908 6 6.608886952762 7 12.367555241042 8 6.303685589096
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| 1........2.............3..........4..................5.......6....................7..................8...............
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| Powell iter=9 -2*LL=51460.597638570471 14 sec. 0 sec. 1 -0.819597388038 2 -0.001927771721 3 -6.366922190899 4 0.021608735010 5 2.788633894031 6 6.715764216787 7 11.126986364695 8 6.426838468958
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| 1........2.............3.........4..................5..........6.........7.....................8..................................Gaining to use new average direction of P0 P8 instead of biggest increase direction 2 :
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| Powell iter=10 -2*LL=51437.479784084469 17 sec. 0 sec. 1 -0.893774665883 2 -0.000533885740 3 -6.429458703340 4 0.022581850422 5 2.770188936631 6 6.798189075056 7 12.797974488056 8 6.485900015773
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| 1................2..............3.........4..................5..............6...................7..................8..............................
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| Powell iter=11 -2*LL=51420.437001909391 42 sec. 0 sec. 1 -0.950697588560 2 -0.000527484177 3 -6.481470925397 4 0.022923641821 5 2.752623141516 6 6.798366227492 7 11.189519918460 8 6.148112871371
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| 1...................2....................... |
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| |
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121 0.00000e+00 |
| |
122 0.00000e+00 0.00000e+00 |
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131 0.00000e+00 0.00000e+00 0.00000e+00 |
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132 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 |
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211 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 |
| |
212 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 |
| |
231 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 |
| |
232 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 |
| |
|
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Total number of individuals= 8270, Agemin = 70.00, Agemax= 104.17 |
| |
|
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Delay (in months) between two waves Min=1 (for indiviudal 6017) Max=74 (5168) Mean=24.040080 |
| |
|
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Age 70 1.=665 loss[1]=5.1% 2.=0 loss[2]=NaNQ% 1.=631 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=34 11=563 12=33 13=35 33=6 |
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Age 71 1.=663 loss[1]=5.7% 2.=2 loss[2]=0.0% 1.=625 prev[1]=99.7% 2.=2 prev[2]=0.3% 1-1=38 11=530 12=47 13=48 21=1 22=1 3-1=2 33=31 |
| |
Age 72 1.=1181 loss[1]=5.6% 2.=35 loss[2]=5.7% 1.=1115 prev[1]=97.1% 2.=33 prev[2]=2.9% 1-1=66 11=969 12=70 13=76 2-1=2 21=9 22=18 23=6 3-1=2 33=87 |
| |
Age 73 1.=1119 loss[1]=5.1% 2.=48 loss[2]=8.3% 1.=1062 prev[1]=96.0% 2.=44 prev[2]=4.0% 1-1=57 11=912 12=71 13=79 2-1=4 21=12 22=26 23=6 3-1=12 33=94 |
| |
Age 74 1.=1563 loss[1]=4.2% 2.=90 loss[2]=4.4% 1.=1497 prev[1]=94.6% 2.=86 prev[2]=5.4% 1-1=66 11=1277 12=104 13=116 2-1=4 21=30 22=41 23=15 3-1=4 33=125 |
| |
Age 75 1.=1463 loss[1]=6.2% 2.=98 loss[2]=7.1% 1.=1372 prev[1]=93.8% 2.=91 prev[2]=6.2% 1-1=91 11=1155 12=98 13=119 2-1=7 21=15 22=55 23=21 3-1=4 33=124 |
| |
Age 76 1.=1390 loss[1]=4.5% 2.=112 loss[2]=3.6% 1.=1328 prev[1]=92.5% 2.=108 prev[2]=7.5% 1-1=62 11=1090 12=111 13=127 2-1=4 21=25 22=54 23=29 3-1=4 33=142 |
| |
Age 77 1.=1271 loss[1]=5.0% 2.=101 loss[2]=5.9% 1.=1208 prev[1]=92.7% 2.=95 prev[2]=7.3% 1-1=63 11=962 12=131 13=115 2-1=6 21=24 22=52 23=19 3-1=7 33=145 |
| |
Age 78 1.=1166 loss[1]=4.9% 2.=122 loss[2]=4.1% 1.=1109 prev[1]=90.5% 2.=117 prev[2]=9.5% 1-1=57 11=894 12=111 13=104 2-1=5 21=21 22=75 23=21 3-1=4 33=146 |
| |
Age 79 1.=1045 loss[1]=5.7% 2.=133 loss[2]=5.3% 1.=985 prev[1]=88.7% 2.=126 prev[2]=11.3% 1-1=60 11=773 12=109 13=103 2-1=7 21=31 22=68 23=27 3-1=8 33=136 |
| |
Age 80 1.=986 loss[1]=4.1% 2.=128 loss[2]=3.1% 1.=946 prev[1]=88.4% 2.=124 prev[2]=11.6% 1-1=40 11=718 12=140 13=88 2-1=4 21=21 22=71 23=32 3-1=6 33=121 |
| |
Age 81 1.=872 loss[1]=4.9% 2.=130 loss[2]=3.8% 1.=829 prev[1]=86.9% 2.=125 prev[2]=13.1% 1-1=43 11=629 12=102 13=98 2-1=5 21=24 22=74 23=27 3-1=5 33=126 |
| |
Age 82 1.=803 loss[1]=4.4% 2.=146 loss[2]=4.1% 1.=768 prev[1]=84.6% 2.=140 prev[2]=15.4% 1-1=35 11=546 12=131 13=91 2-1=6 21=15 22=77 23=48 3-1=11 33=100 |
| |
Age 83 1.=726 loss[1]=6.5% 2.=116 loss[2]=0.9% 1.=679 prev[1]=85.5% 2.=115 prev[2]=14.5% 1-1=47 11=456 12=124 13=99 2-1=1 21=19 22=71 23=25 3-1=8 33=133 |
| |
Age 84 1.=622 loss[1]=5.6% 2.=147 loss[2]=4.1% 1.=587 prev[1]=80.6% 2.=141 prev[2]=19.4% 1-1=35 11=394 12=112 13=81 2-1=6 21=18 22=82 23=41 3-1=5 33=114 |
| |
Age 85 1.=526 loss[1]=4.4% 2.=127 loss[2]=6.3% 1.=503 prev[1]=80.9% 2.=119 prev[2]=19.1% 1-1=23 11=315 12=122 13=66 2-1=8 21=13 22=67 23=39 3-1=4 33=137 |
| |
Age 86 1.=464 loss[1]=5.2% 2.=130 loss[2]=6.2% 1.=440 prev[1]=78.3% 2.=122 prev[2]=21.7% 1-1=24 11=271 12=103 13=66 2-1=8 21=18 22=70 23=34 3-1=3 33=112 |
| |
Age 87 1.=372 loss[1]=4.8% 2.=143 loss[2]=2.8% 1.=354 prev[1]=71.8% 2.=139 prev[2]=28.2% 1-1=18 11=219 12=79 13=56 2-1=4 21=15 22=71 23=53 3-1=1 33=81 |
| |
Age 88 1.=283 loss[1]=3.9% 2.=164 loss[2]=6.7% 1.=272 prev[1]=64.0% 2.=153 prev[2]=36.0% 1-1=11 11=172 12=63 13=37 2-1=11 21=25 22=84 23=44 3-1=8 33=102 |
| |
Age 89 1.=227 loss[1]=3.5% 2.=152 loss[2]=4.6% 1.=219 prev[1]=60.2% 2.=145 prev[2]=39.8% 1-1=8 11=135 12=45 13=39 2-1=7 21=21 22=73 23=51 3-1=2 33=77 |
| |
Age 90 1.=181 loss[1]=3.9% 2.=143 loss[2]=4.9% 1.=174 prev[1]=56.1% 2.=136 prev[2]=43.9% 1-1=7 11=104 12=41 13=29 2-1=7 21=18 22=82 23=36 3-1=1 33=75 |
| |
Age 91 1.=146 loss[1]=4.1% 2.=109 loss[2]=8.3% 1.=140 prev[1]=58.3% 2.=100 prev[2]=41.7% 1-1=6 11=78 12=36 13=26 2-1=9 21=11 22=51 23=38 3-1=3 33=77 |
| |
Age 92 1.=114 loss[1]=6.1% 2.=101 loss[2]=2.0% 1.=107 prev[1]=51.9% 2.=99 prev[2]=48.1% 1-1=7 11=47 12=43 13=17 2-1=2 21=11 22=52 23=36 3-1=2 33=61 |
| |
Age 93 1.=78 loss[1]=3.8% 2.=89 loss[2]=12.4% 1.=75 prev[1]=49.0% 2.=78 prev[2]=51.0% 1-1=3 11=36 12=25 13=14 2-1=11 21=10 22=46 23=22 3-1=2 33=62 |
| |
Age 94 1.=51 loss[1]=3.9% 2.=71 loss[2]=1.4% 1.=49 prev[1]=41.2% 2.=70 prev[2]=58.8% 1-1=2 11=24 12=8 13=17 2-1=1 21=4 22=39 23=27 3-1=1 33=37 |
| |
Age 95 1.=38 loss[1]=5.3% 2.=57 loss[2]=5.3% 1.=36 prev[1]=40.0% 2.=54 prev[2]=60.0% 1-1=2 11=16 12=13 13=7 2-1=3 21=4 22=31 23=19 3-1=1 33=39 |
| |
Age 96 1.=25 loss[1]=4.0% 2.=43 loss[2]=4.7% 1.=24 prev[1]=36.9% 2.=41 prev[2]=63.1% 1-1=1 11=11 12=9 13=4 2-1=2 21=2 22=22 23=17 3-1=2 33=25 |
| |
Age 97 1.=11 loss[1]=0.0% 2.=36 loss[2]=8.3% 1.=11 prev[1]=25.0% 2.=33 prev[2]=75.0% 11=4 12=7 2-1=3 21=2 22=22 23=9 33=23 |
| |
Age 98 1.=5 loss[1]=0.0% 2.=21 loss[2]=0.0% 1.=5 prev[1]=19.2% 2.=21 prev[2]=80.8% 11=1 12=4 21=1 22=13 23=7 3-1=1 33=17 |
| |
Age 99 1.=6 loss[1]=0.0% 2.=14 loss[2]=0.0% 1.=6 prev[1]=30.0% 2.=14 prev[2]=70.0% 11=3 12=1 13=2 21=2 22=2 23=10 33=6 |
| |
Age 100 1.=2 loss[1]=0.0% 2.=9 loss[2]=0.0% 1.=2 prev[1]=18.2% 2.=9 prev[2]=81.8% 11=1 12=1 21=2 22=5 23=2 33=2 |
| |
Age 101 1.=2 loss[1]=50.0% 2.=0 loss[2]=NaNQ% 1.=1 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=1 12=1 3-1=1 33=3 |
| |
Age 102 1.=2 loss[1]=0.0% 2.=1 loss[2]=0.0% 1.=2 prev[1]=66.7% 2.=1 prev[2]=33.3% 12=2 22=1 33=1 |
| |
Age 103 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% |
| |
Age 104 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% |
| |
Age 105 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% |
| |
Age 106 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% -1-1=69 -11=718 -12=195 -13=261 |
| |
Total 1.=18068 loss[1]=5.0% 2.=2818 loss[2]=4.9% 1.=17161 prev[1]=86.5% 2.=2681 prev[2]=13.5% -1-1=69 -11=718 -12=195 -13=261 1-1=907 11=13305 12=2097 13=1759 2-1=137 21=424 22=1496 23=761 3-1=114 33=2567 |
| |
Powell |
| |
|
| |
Powell iter=1 -2*LL=46542.394740741831 0 sec. 1 sec. 1 -12.245240000000 2 0.092358000000 3 -10.671890000000 4 0.060969000000 5 -2.645345000000 6 -0.022325000000 7 -4.773317000000 8 0.007859000000 |
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|
| |
Considering the time needed for this last iteration #1: 0 seconds, |
| |
- if your program needs 10 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e. |
| |
on Tue Aug 18 18:20:45 2015 (current time is Tue Aug 18 18:20:45 2015); |
| |
- if your program needs 20 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e. |
| |
on Tue Aug 18 18:20:45 2015 (current time is Tue Aug 18 18:20:45 2015); |
| |
- if your program needs 30 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e. |
| |
on Tue Aug 18 18:20:45 2015 (current time is Tue Aug 18 18:20:45 2015); |
| |
1.............2.....................3...............4...................5..........6.............7...............8.................. |
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Powell iter=2 -2*LL=46542.366177077667 23 sec. 24 sec. 1 -12.245474667968 2 0.092360078052 3 -10.671718090206 4 0.060967648859 5 -2.641226372487 6 -0.022378298324 7 -4.773347352998 8 0.007897501084 |
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|
| |
Considering the time needed for this last iteration #2: 23 seconds, |
| |
- if your program needs 10 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 3 minute(s) 4 second(s) i.e. |
| |
on Tue Aug 18 18:24:12 2015 (current time is Tue Aug 18 18:21:08 2015); |
| |
- if your program needs 20 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 6 minute(s) 54 second(s) i.e. |
| |
on Tue Aug 18 18:28:02 2015 (current time is Tue Aug 18 18:21:08 2015); |
| |
- if your program needs 30 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 10 minute(s) 44 second(s) i.e. |
| |
on Tue Aug 18 18:31:52 2015 (current time is Tue Aug 18 18:21:08 2015); |
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1............2.................3............4...................5..........6.............7..........8.........................Gaining to use new average direction of P0 P8 instead of biggest increase direction 8 : |
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|
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Powell iter=3 -2*LL=46542.180101184662 22 sec. 46 sec. 1 -12.243554549912 2 0.092379481639 3 -10.687240979880 4 0.060948425212 5 -2.601681584093 6 -0.022889573696 7 -4.797716971796 8 0.008263023171 |
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|
| |
Considering the time needed for this last iteration #3: 22 seconds, |
| |
- if your program needs 10 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 2 minute(s) 34 second(s) i.e. |
| |
on Tue Aug 18 18:24:04 2015 (current time is Tue Aug 18 18:21:30 2015); |
| |
- if your program needs 20 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 6 minute(s) 14 second(s) i.e. |
| |
on Tue Aug 18 18:27:44 2015 (current time is Tue Aug 18 18:21:30 2015); |
| |
- if your program needs 30 iterations to converge, convergence will be |
| |
reached in 0 day(s) 0 hour(s) 9 minute(s) 54 second(s) i.e. |
| |
on Tue Aug 18 18:31:24 2015 (current time is Tue Aug 18 18:21:30 2015); |
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1.................2.................3..........4....................5..........6.............7..........8....... |
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Powell iter=4 -2*LL=46541.944882756965 20 sec. 66 sec. 1 -12.242484543366 2 0.092391161272 3 -10.684956992257 4 0.060933369989 5 -2.571767476006 6 -0.023216409131 7 -4.817698692685 8 0.008460497128 |
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1.........2..................3..........4....................5..........6.............7..........8..............Gaining to use new average direction of P0 P8 instead of biggest increase direction 3 : |
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|
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Powell iter=5 -2*LL=46538.155159115864 21 sec. 87 sec. 1 -12.277818683456 2 0.092782784461 3 -10.606927524558 4 0.060433498790 5 -1.636618302422 6 -0.034173907116 7 -5.415159199358 8 0.015209892785 |
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1.........2..............3........4...................5.........6..............7..........8........directest= 3.559482495482, t= -1.587615025675, f1= 46538.155159115864,f2= 46537.965437599931,f3= 46541.605702231980, del= 0.135251826250 |
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f1-2f2+f3= 3.829986147983, f1-f2-del= 0.054469689683, f1-f3= -3.450543116116 |
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|
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Powell iter=6 -2*LL=46537.965437599931 17 sec. 104 sec. 1 -12.286824634318 2 0.092796946661 3 -10.605118146544 4 0.060392081785 5 -1.601001695625 6 -0.034696856573 7 -5.445686958604 8 0.015541650236 |
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1............2...............3..........4...........................5.........6.............7.................8........ |
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Powell iter=7 -2*LL=46537.953896904983 21 sec. 125 sec. 1 -12.288663475348 2 0.092794258423 3 -10.602520523521 4 0.060372798332 5 -1.596765949187 6 -0.034763087057 7 -5.450260084532 8 0.015582787665 |
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1...........2...............3........4...................5..........6..............7............8.............Gaining to use new average direction of P0 P8 instead of biggest increase direction 4 : |
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|
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Powell iter=8 -2*LL=46537.933555419499 20 sec. 145 sec. 1 -12.288754155703 2 0.092753643773 3 -10.588920461186 4 0.060230465648 5 -1.588742425574 6 -0.034884297842 7 -5.460441275653 8 0.015679980832 |
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1..........2................3..........4.........5...........6..............7...........8............Gaining to use new average direction of P0 P8 instead of biggest increase direction 1 : |
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|
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Powell iter=9 -2*LL=46537.891454595432 19 sec. 164 sec. 1 -12.283266439012 2 0.092658255416 3 -10.562891684762 4 0.059948818330 5 -1.581316871784 6 -0.034987633432 7 -5.472744984969 8 0.015801808619 |
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1.....2..............3........4............5............6..............7...........8...........Gaining to use new average direction of P0 P8 instead of biggest increase direction 8 : |
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|
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Powell iter=10 -2*LL=46537.765677731819 18 sec. 182 sec. 1 -12.262794789308 2 0.092367916069 3 -10.470813624311 4 0.058882333788 5 -1.562236459514 6 -0.035239826239 7 -5.510520845667 8 0.016209203343 |
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1......2.......................3.......4........5............6..............7............8............Gaining to use new average direction of P0 P8 instead of biggest increase direction 8 : |
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|
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Powell iter=11 -2*LL=46537.498821119196 19 sec. 201 sec. 1 -12.214937649099 2 0.091832303757 3 -10.310758734665 4 0.056891524738 5 -1.540234661352 6 -0.035490430955 7 -5.566745000929 8 0.016892295483 |
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1.....2..............3.......4........5.................6...............7..............8....... |
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Powell iter=12 -2*LL=46537.411404609535 18 sec. 219 sec. 1 -12.203395121992 2 0.091768319083 3 -10.300995242801 4 0.056661013905 5 -1.545167229526 6 -0.035400936285 7 -5.565324661507 8 0.016938176004 |
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1............2..................3..........4............5..................6..............7.............8.....................Gaining to use new average direction of P0 P8 instead of biggest increase direction 3 : |
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|
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Powell iter=13 -2*LL=46537.410703925241 22 sec. 241 sec. 1 -12.202513270154 2 0.091761198901 3 -10.299418789414 4 0.056628413435 5 -1.545343667372 6 -0.035398382663 7 -5.565921175501 8 0.016950736226 |
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1.........2................3............4.............5..........6....................7..............8........#Number of iterations & function calls = 13 & 1694, -2 Log likelihood = 46537.410262065809 |
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# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ... |
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12 -12.2027105 0.0917637 |
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13 -10.2992383 0.0566262 |
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21 -1.5456185 -0.0353950 |
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23 -5.5659628 0.0169512 |
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|
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Calculation of the hessian matrix. Wait... |
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12345678.12.13.14.15.16.17.18.23.24.25.26.27.28.34.35.36.37.38.45.46.47.48.56.57.58.67.68.78 |
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|
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Inverting the hessian to get the covariance matrix. Wait... |
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|
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#Hessian matrix# |
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2.301e+03 1.898e+05 3.980e+02 3.280e+04 -3.628e+02 -3.007e+04 -3.111e+02 -2.563e+04 |
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1.898e+05 1.574e+07 3.252e+04 2.694e+06 -3.003e+04 -2.503e+06 -2.554e+04 -2.114e+06 |
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3.980e+02 3.252e+04 8.499e+02 6.839e+04 -8.040e+01 -6.688e+03 3.773e+02 3.120e+04 |
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3.280e+04 2.694e+06 6.839e+04 5.532e+06 -6.734e+03 -5.639e+05 3.117e+04 2.590e+06 |
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-3.628e+02 -3.003e+04 -8.040e+01 -6.734e+03 4.570e+02 3.818e+04 4.994e+01 4.126e+03 |
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-3.007e+04 -2.503e+06 -6.688e+03 -5.639e+05 3.818e+04 3.208e+06 4.126e+03 3.421e+05 |
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-3.111e+02 -2.554e+04 3.773e+02 3.117e+04 4.994e+01 4.126e+03 1.024e+03 8.867e+04 |
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-2.563e+04 -2.114e+06 3.120e+04 2.590e+06 4.126e+03 3.421e+05 8.867e+04 7.720e+06 |
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Parameters, T and confidence intervals |
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12 -12.2027105 T= -36.632 CI=[ -12.8689514 ; -11.5364696] 0.0917637 T= 22.911 CI=[ 0.0837533 ; 0.0997740] |
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13 -10.2992383 T= -18.738 CI=[ -11.3985038 ; -9.1999728] 0.0566262 T= 8.316 CI=[ 0.0430080 ; 0.0702444] |
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21 -1.5456185 T= -2.259 CI=[ -2.9142844 ; -0.1769526] -0.0353950 T= -4.335 CI=[ -0.0517251 ; -0.0190649] |
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23 -5.5659628 T= -11.196 CI=[ -6.5602821 ; -4.5716434] 0.0169512 T= 2.998 CI=[ 0.0056422 ; 0.0282603] |
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# Scales (for hessian or gradient estimation) |
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12 1.00000e-04 1.00000e-06 |
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13 1.00000e-04 1.00000e-06 |
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21 1.00000e-04 1.00000e-06 |
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23 3.00000e-04 1.00000e-06 |
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# Covariance matrix |
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# 121 Var(a12) |
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# 122 Cov(b12,a12) Var(b12) |
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# ... |
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# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23) |
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#121 Var(a12) |
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#122 Cov(b12,a12) Var(b12) |
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#131 Cov(a13,a12) Cov(a13,b12) Var(a13) |
| |
#132 Cov(b13,a12) Cov(b13,b12) Cov(b13,a13) Var(b13) |
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#211 Cov(a21,a12) Cov(a21,b12) Cov(a21,a13) Cov(a21,b13) Var(a21) |
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#212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21) |
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#231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23) |
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#232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23) |
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121 1.10969e-01 |
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122 -1.33029e-03 1.60415e-05 |
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131 -5.53768e-02 6.77306e-04 3.02096e-01 |
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132 6.58106e-04 -8.12775e-06 -3.73026e-03 4.63642e-05 |
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211 7.59223e-02 -9.02778e-04 2.53226e-02 -3.27358e-04 4.68312e-01 |
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212 -9.05016e-04 1.08138e-05 -3.15929e-04 4.09141e-06 -5.57262e-03 6.66682e-05 |
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231 5.24440e-02 -5.95206e-04 -8.93872e-02 1.00357e-03 6.06408e-03 -7.39139e-05 2.47168e-01 |
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232 -5.95756e-04 6.80630e-06 1.05928e-03 -1.20524e-05 -6.07266e-05 7.34461e-07 -2.80315e-03 3.19737e-05 |
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begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0 |
| |
pop_based=0 |
| |
prevforecast=0 starting-proj-date=1/1/2000 final-proj-date=1/1/2000 mobil_average=0 |
| |
Computing period (stable) prevalence: result on file 'plrbiaspar.txt' |
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|
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#************ |
| |
Computing pij: result on file 'pijrbiaspar.txt' |
| |
Computing standard deviation of one-step probabilities: result on file 'probrbiaspar.txt' |
| |
Computing matrix of variance covariance of one-step probabilities: result on file 'probcovrbiaspar.txt' |
| |
and correlation matrix of one-step probabilities: result on file 'probcorrbiaspar.txt' |
| |
65 13-12 mu 1.5972e-02 2.3367e-02 Var 3.3236e-06 3.1628e-06 cor -0.338 cov -1.0950e-06 Eig 4.341e-06 2.145e-06 1stv 0.733 -0.681 tan -0.929 |
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70 13-12 mu 2.1166e-02 3.6913e-02 Var 3.1497e-06 4.5213e-06 cor -0.360 cov -1.3581e-06 Eig 5.357e-06 2.314e-06 1stv 0.524 -0.852 tan -1.625 |
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75 13-12 mu 2.8027e-02 5.8265e-02 Var 2.6312e-06 5.5954e-06 cor -0.404 cov -1.5492e-06 Eig 6.257e-06 1.969e-06 1stv 0.393 -0.920 tan -2.341 |
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80 13-12 mu 3.7067e-02 9.1858e-02 Var 2.7234e-06 6.5867e-06 cor -0.456 cov -1.9326e-06 Eig 7.387e-06 1.923e-06 1stv 0.383 -0.924 tan -2.413 |
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85 13-12 mu 4.8930e-02 1.4455e-01 Var 7.0008e-06 1.4795e-05 cor -0.418 cov -4.2498e-06 Eig 1.666e-05 5.132e-06 1stv 0.403 -0.915 tan -2.274 |
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90 13-12 mu 6.4406e-02 2.2681e-01 Var 2.5605e-05 7.2563e-05 cor -0.359 cov -1.5484e-05 Eig 7.721e-05 2.096e-05 1stv 0.287 -0.958 tan -3.333 |
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95 13-12 mu 8.4408e-02 3.5434e-01 Var 8.3580e-05 3.5679e-04 cor -0.341 cov -5.8808e-05 Eig 3.689e-04 7.146e-05 1stv 0.202 -0.979 tan -4.852 |
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65 21-12 mu 2.4815e-01 2.3367e-02 Var 1.5081e-03 3.1628e-06 cor 0.333 cov 2.3009e-05 Eig 1.509e-03 2.811e-06 1stv 1.000 0.015 tan 0.015 |
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70 21-12 mu 2.0839e-01 3.6913e-02 Var 6.2123e-04 4.5213e-06 cor 0.332 cov 1.7587e-05 Eig 6.217e-04 4.020e-06 1stv 1.000 0.028 tan 0.028 |
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75 21-12 mu 1.7490e-01 5.8265e-02 Var 2.2058e-04 5.5954e-06 cor 0.326 cov 1.1456e-05 Eig 2.212e-04 4.987e-06 1stv 0.999 0.053 tan 0.053 |
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80 21-12 mu 1.4670e-01 9.1858e-02 Var 7.0767e-05 6.5867e-06 cor 0.304 cov 6.5593e-06 Eig 7.143e-05 5.923e-06 1stv 0.995 0.101 tan 0.101 |
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85 21-12 mu 1.2299e-01 1.4455e-01 Var 3.9227e-05 1.4795e-05 cor 0.276 cov 6.6547e-06 Eig 4.092e-05 1.310e-05 1stv 0.969 0.247 tan 0.255 |
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90 21-12 mu 1.0307e-01 2.2681e-01 Var 5.4893e-05 7.2563e-05 cor 0.289 cov 1.8261e-05 Eig 8.401e-05 4.344e-05 1stv 0.531 0.847 tan 1.595 |
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95 21-12 mu 8.6343e-02 3.5434e-01 Var 8.2297e-05 3.5679e-04 cor 0.302 cov 5.1723e-05 Eig 3.662e-04 7.287e-05 1stv 0.179 0.984 tan 5.489 |
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65 23-12 mu 1.3378e-01 2.3367e-02 Var 3.1221e-04 3.1628e-06 cor 0.364 cov 1.1447e-05 Eig 3.126e-04 2.739e-06 1stv 0.999 0.037 tan 0.037 |
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70 23-12 mu 1.4596e-01 3.6913e-02 Var 2.3686e-04 4.5213e-06 cor 0.388 cov 1.2697e-05 Eig 2.376e-04 3.829e-06 1stv 0.999 0.054 tan 0.054 |
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75 23-12 mu 1.5914e-01 5.8265e-02 Var 1.6142e-04 5.5954e-06 cor 0.423 cov 1.2709e-05 Eig 1.625e-04 4.566e-06 1stv 0.997 0.081 tan 0.081 |
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80 23-12 mu 1.7343e-01 9.1858e-02 Var 9.6292e-05 6.5867e-06 cor 0.449 cov 1.1306e-05 Eig 9.769e-05 5.184e-06 1stv 0.992 0.123 tan 0.124 |
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85 23-12 mu 1.8890e-01 1.4455e-01 Var 5.6832e-05 1.4795e-05 cor 0.356 cov 1.0309e-05 Eig 5.922e-05 1.240e-05 1stv 0.974 0.226 tan 0.232 |
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90 23-12 mu 2.0566e-01 2.2681e-01 Var 6.4965e-05 7.2563e-05 cor 0.255 cov 1.7485e-05 Eig 8.666e-05 5.087e-05 1stv 0.628 0.779 tan 1.241 |
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95 23-12 mu 2.2383e-01 3.5434e-01 Var 1.5120e-04 3.5679e-04 cor 0.238 cov 5.5313e-05 Eig 3.707e-04 1.373e-04 1stv 0.244 0.970 tan 3.969 |
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65 21-13 mu 2.4815e-01 1.5972e-02 Var 1.5081e-03 3.3236e-06 cor 0.047 cov 3.3259e-06 Eig 1.508e-03 3.316e-06 1stv 1.000 0.002 tan 0.002 |
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70 21-13 mu 2.0839e-01 2.1166e-02 Var 6.2123e-04 3.1497e-06 cor 0.037 cov 1.6580e-06 Eig 6.212e-04 3.145e-06 1stv 1.000 0.003 tan 0.003 |
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75 21-13 mu 1.7490e-01 2.8027e-02 Var 2.2058e-04 2.6312e-06 cor 0.024 cov 5.6775e-07 Eig 2.206e-04 2.630e-06 1stv 1.000 0.003 tan 0.003 |
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80 21-13 mu 1.4670e-01 3.7067e-02 Var 7.0767e-05 2.7234e-06 cor 0.024 cov 3.3537e-07 Eig 7.077e-05 2.722e-06 1stv 1.000 0.005 tan 0.005 |
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85 21-13 mu 1.2299e-01 4.8930e-02 Var 3.9227e-05 7.0008e-06 cor 0.078 cov 1.2860e-06 Eig 3.928e-05 6.950e-06 1stv 0.999 0.040 tan 0.040 |
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90 21-13 mu 1.0307e-01 6.4406e-02 Var 5.4893e-05 2.5605e-05 cor 0.100 cov 3.7654e-06 Eig 5.537e-05 2.513e-05 1stv 0.992 0.126 tan 0.127 |
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95 21-13 mu 8.6343e-02 8.4408e-02 Var 8.2297e-05 8.3580e-05 cor 0.097 cov 8.0750e-06 Eig 9.104e-05 7.484e-05 1stv 0.679 0.735 tan 1.083 |
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65 23-13 mu 1.3378e-01 1.5972e-02 Var 3.1221e-04 3.3236e-06 cor -0.409 cov -1.3182e-05 Eig 3.128e-04 2.762e-06 1stv 0.999 -0.043 tan -0.043 |
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70 23-13 mu 1.4596e-01 2.1166e-02 Var 2.3686e-04 3.1497e-06 cor -0.453 cov -1.2362e-05 Eig 2.375e-04 2.498e-06 1stv 0.999 -0.053 tan -0.053 |
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75 23-13 mu 1.5914e-01 2.8027e-02 Var 1.6142e-04 2.6312e-06 cor -0.528 cov -1.0874e-05 Eig 1.622e-04 1.890e-06 1stv 0.998 -0.068 tan -0.068 |
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80 23-13 mu 1.7343e-01 3.7067e-02 Var 9.6292e-05 2.7234e-06 cor -0.585 cov -9.4784e-06 Eig 9.724e-05 1.773e-06 1stv 0.995 -0.100 tan -0.100 |
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85 23-13 mu 1.8890e-01 4.8930e-02 Var 5.6832e-05 7.0008e-06 cor -0.513 cov -1.0241e-05 Eig 5.885e-05 4.978e-06 1stv 0.981 -0.194 tan -0.198 |
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90 23-13 mu 2.0566e-01 6.4406e-02 Var 6.4965e-05 2.5605e-05 cor -0.434 cov -1.7707e-05 Eig 7.176e-05 1.881e-05 1stv 0.934 -0.358 tan -0.384 |
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95 23-13 mu 2.2383e-01 8.4408e-02 Var 1.5120e-04 8.3580e-05 cor -0.363 cov -4.0852e-05 Eig 1.704e-04 6.436e-05 1stv 0.905 -0.426 tan -0.470 |
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65 23-21 mu 1.3378e-01 2.4815e-01 Var 3.1221e-04 1.5081e-03 cor -0.015 cov -1.0342e-05 Eig 1.508e-03 3.121e-04 1stv 0.009 -1.000 tan -115.645 |
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70 23-21 mu 1.4596e-01 2.0839e-01 Var 2.3686e-04 6.2123e-04 cor -0.013 cov -4.8257e-06 Eig 6.213e-04 2.368e-04 1stv 0.013 -1.000 tan -79.662 |
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75 23-21 mu 1.5914e-01 1.7490e-01 Var 1.6142e-04 2.2058e-04 cor -0.014 cov -2.7177e-06 Eig 2.207e-04 1.613e-04 1stv 0.046 -0.999 tan -21.813 |
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80 23-21 mu 1.7343e-01 1.4670e-01 Var 9.6292e-05 7.0767e-05 cor -0.029 cov -2.3931e-06 Eig 9.651e-05 7.054e-05 1stv 0.996 -0.093 tan -0.093 |
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85 23-21 mu 1.8890e-01 1.2299e-01 Var 5.6832e-05 3.9227e-05 cor -0.061 cov -2.8869e-06 Eig 5.729e-05 3.877e-05 1stv 0.987 -0.158 tan -0.160 |
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90 23-21 mu 2.0566e-01 1.0307e-01 Var 6.4965e-05 5.4893e-05 cor -0.062 cov -3.6726e-06 Eig 6.616e-05 5.370e-05 1stv 0.951 -0.310 tan -0.326 |
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95 23-21 mu 2.2383e-01 8.6343e-02 Var 1.5120e-04 8.2297e-05 cor -0.040 cov -4.5038e-06 Eig 1.515e-04 8.200e-05 1stv 0.998 -0.065 tan -0.065 |
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Computing Health Expectancies: result on file 'erbiaspar.txt' |
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65|66|67|68|69|70|71|72|73|74|75|76|77|78|79|80|81|82|83|84|85|86|87|88|89|90|91|92|93|94|95| |
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Computing Total Life expectancies with their standard errors: file 'trbiaspar.txt' |
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Computing Health Expectancies and standard errors: result on file 'stderbiaspar.txt' |
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Computing Covar. of Health Expectancies: result on file 'cverbiaspar.txt' |
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Computing Variance-covariance of DFLEs: file 'vrbiaspar.txt' |
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65|66|67|68|69|70|71|72|73|74|75|76|77|78|79|80|81|82|83|84|85|86|87|88|89|90|91|92|93|94|95| |
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Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file 'prmorprev1-stablbased-rbiaspar.txt' |
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End of Imach |
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Local time at start Tue Aug 18 18:20:44 2015 |
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Local time at end Tue Aug 18 18:26:33 2015 |
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Total time used 0 day(s) 0 hour(s) 5 minute(s) 49 second(s) |
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Total time was 349 Sec. |
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