imach/html/doc/biaspar.log - view

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Wed Jun 16 21:43:53 2004 UTC (20 years ago) by brouard
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1: Log filename:biaspar.log 2: 3: Imach version 0.07a, May 2004, INED-EUROREVES 4: $Revision: 1.1 $ $Date: 2004/06/16 21:43:53 $ 5: Enter the parameter file name: 6: pathimach=C:\Program Files\IMaCh\bin\ 7: pathtot=D:\imachcvs\imach\html\doc\biaspar.imach 8: path=D:\imachcvs\imach\html\doc\ 9: optionfile=biaspar.imach 10: optionfilext=imach 11: optionfilefiname=biaspar 12: Local time (at start): Wed Jun 16 20:01:29 2004 13: # Imach version 0.97b, June 2004, INED-EUROREVES 14: title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4 15: ftol=1.000000e-008 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle=1 weight=0 16: model=. 17: # Parameters 18: 11 0.000000 0.000000 19: 12 0.000000 0.000000 20: 21 0.000000 0.000000 21: 22 0.000000 0.000000 22: # Scales 23: 12 0.000000e+000 0.000000e+000 24: 13 0.000000e+000 0.000000e+000 25: 21 0.000000e+000 0.000000e+000 26: 23 0.000000e+000 0.000000e+000 27: #covariance matrix# 28: 121 0.00000e+000 29: 122 0.00000e+000 0.00000e+000 30: 131 0.00000e+000 0.00000e+000 0.00000e+000 31: 132 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 32: 211 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 33: 212 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 34: 231 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 35: 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 36: 37: Total number of individuals= 8270, Agemin = 70.00, Agemax= 104.17 38: 39: Delay (in months) between two waves Min=1 Max=74 Mean=24.040080 40: 41: 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 42: 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 43: 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 44: 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 45: 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 46: 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 47: 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 48: 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 49: 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 50: 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 51: 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 52: 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 53: 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 54: 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 55: 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 56: 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 57: 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 58: 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 59: 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 60: 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 61: 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 62: 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 63: 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 64: 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 65: 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 66: 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 67: 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 68: 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 69: 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 70: 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 71: 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 72: 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 73: 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 74: Age 103 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% 75: Age 104 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% 76: Age 105 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% 77: 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 78: 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 79: Powell 80: 1 0.000000000000 2 0.000000000000 3 0.000000000000 4 0.000000000000 5 0.000000000000 6 0.000000000000 7 0.000000000000 8 0.000000000000 81: 82: Considering the time needed for this last iteration #1: 6 seconds, 83: - if your program needs 10 iterations to converge, convergence will be 84: reached in 0 day(s) 0 hour(s) 0 minute(s) 54 second(s) or 85: on Wed Jun 16 20:02:29 2004 (current time is Sun Jan 00 00:00:00 1900); 86: - if your program needs 20 iterations to converge, convergence will be 87: reached in 0 day(s) 0 hour(s) 1 minute(s) 54 second(s) or 88: on Wed Jun 16 20:03:29 2004 (current time is Sun Jan 00 00:00:00 1900); 89: - if your program needs 30 iterations to converge, convergence will be 90: reached in 0 day(s) 0 hour(s) 2 minute(s) 54 second(s) or 91: on Wed Jun 16 20:04:29 2004 (current time is Sun Jan 00 00:00:00 1900); 92: 1........2..............3.........4.....................5.....6............7.........8.............................. 1 8.981830476053 2 0.016741782348 3 -0.434998430400 4 0.000507430858 5 3.199437393212 6 -0.000133684761 7 -0.817356129028 8 0.000414699996 93: 94: Considering the time needed for this last iteration #2: 208 seconds, 95: - if your program needs 10 iterations to converge, convergence will be 96: reached in 0 day(s) 0 hour(s) 27 minute(s) 44 second(s) or 97: on Wed Jun 16 20:32:47 2004 (current time is Wed Jun 16 20:04:29 2004); 98: - if your program needs 20 iterations to converge, convergence will be 99: reached in 0 day(s) 1 hour(s) 2 minute(s) 24 second(s) or 100: on Wed Jun 16 21:07:27 2004 (current time is Wed Jun 16 20:04:29 2004); 101: - if your program needs 30 iterations to converge, convergence will be 102: reached in 0 day(s) 1 hour(s) 37 minute(s) 4 second(s) or 103: on Wed Jun 16 21:42:07 2004 (current time is Wed Jun 16 20:04:29 2004); 104: 1...........2.....................3..........4..................5.................6................7..........8................. 1 -2.281836000719 2 0.011363386191 3 -3.509411216627 4 -0.009366673262 5 2.547958086578 6 -0.006889845670 7 -1.246132813756 8 -0.012649901977 105: 106: Considering the time needed for this last iteration #3: 231 seconds, 107: - if your program needs 10 iterations to converge, convergence will be 108: reached in 0 day(s) 0 hour(s) 26 minute(s) 57 second(s) or 109: on Wed Jun 16 20:35:51 2004 (current time is Wed Jun 16 21:42:07 2004); 110: - if your program needs 20 iterations to converge, convergence will be 111: reached in 0 day(s) 1 hour(s) 5 minute(s) 27 second(s) or 112: on Wed Jun 16 21:14:21 2004 (current time is Wed Jun 16 21:42:07 2004); 113: - if your program needs 30 iterations to converge, convergence will be 114: reached in 0 day(s) 1 hour(s) 43 minute(s) 57 second(s) or 115: on Wed Jun 16 21:52:51 2004 (current time is Wed Jun 16 21:42:07 2004); 116: 1........2.................3......4....................5........6....................7..........8........... 1 -2.182035173603 2 0.011466563261 3 -4.731956899645 4 -0.008153719587 5 2.446929750692 6 -0.008350758063 7 -1.338373684045 8 -0.012700510705 117: 1........2................3..........4...................5.........6...................7..........8....................... 1 -3.070118367810 2 0.018029737925 3 -6.179758278003 4 0.001931815043 5 2.212099294068 6 -0.027639659092 7 -2.308826366165 8 -0.013145859018 118: 1........2...............3..........4....................5........6..........7..........8........... 1 -3.626443405216 2 0.020252747011 3 -6.684567970636 4 0.006053308971 5 2.123889813050 6 -0.032646572927 7 -2.451161675313 8 -0.013247292052 119: 1.........2................3..........4....................5........6..........7..........8................ 1 -7.192140554152 2 0.034622189094 3 -10.544920216832 4 0.036670473931 5 1.542086623550 6 -0.063020682713 7 -2.948009202319 8 -0.013799972401 120: 1.........2...........3.........4...................5.........6............7..........8......... 1 -7.695063925884 2 0.037191994983 3 -9.231166162442 4 0.039361834929 5 1.401759549812 6 -0.065175804333 7 -2.866441706489 8 -0.013803517142 121: 1.........2.............3..........4...................5.........6...........7...........8......... 1 -7.939869836890 2 0.039878300993 3 -9.189584027736 4 0.041402834643 5 1.337329427407 6 -0.067669137298 7 -2.901398966684 8 -0.013846392284 122: 1.........2...............3...........4...................5.........6...........7...........8.................. 1 -8.176148664406 2 0.042830030891 3 -9.304682693761 4 0.043725020801 5 1.277039671360 6 -0.070125957584 7 -2.891194329467 8 -0.013891340738 123: 1.........2.........3..........4...................5..........6...........7..........8........ 1 -8.179619196119 2 0.042985027260 3 -9.366623520734 4 0.044108767751 5 1.279285841696 6 -0.070237071696 7 -2.878991733486 8 -0.013897703834 124: 1..........2.........3..........4...................5..........6...........7..........8................ 1 -8.254215888987 2 0.044554630734 3 -9.868950570120 4 0.048211083803 5 1.293769939843 6 -0.070742638143 7 -2.797695070311 8 -0.013959640477 125: 1..........2.........3........4....................5..........6...........7.........8........ 1 -8.301005986669 2 0.045044501039 3 -10.022401257526 4 0.050128392815 5 1.294592923683 6 -0.070705262279 7 -2.801675945921 8 -0.013983808787 126: 1..........2.........3........4....................5..........6...........7.........8................ 1 -9.365674779567 2 0.057619122398 3 -13.303145173616 4 0.092884999270 5 1.298783095758 6 -0.069466271843 7 -2.845791465313 8 -0.014517443646 127: 1.........2.........3........4...................5..........6...........7........8......... 1 -9.460316475357 2 0.058991649124 3 -13.724001592567 4 0.097155016842 5 1.308864005060 6 -0.069456560690 7 -2.836197284189 8 -0.014578614460 128: 1..........2.........3........4...................5..........6...........7.........8.......... 1 -9.557567205936 2 0.060205222047 3 -13.943564483557 4 0.099318409496 5 1.302759025124 6 -0.069576980550 7 -2.798221359597 8 -0.014606145260 129: 1.....................2.........3........4...................5...........6...................7.........8....... 1 -9.571680690088 2 0.060355413693 3 -13.930383304540 4 0.099316840292 5 1.298874982881 6 -0.069462813075 7 -2.794978077764 8 -0.014604991425 130: 1.........2.........3........4...................5..............6............7.........8............. 1 -9.521361381226 2 0.059769030435 3 -13.376711224686 4 0.092703049694 5 1.274511227165 6 -0.068992405398 7 -2.776810027970 8 -0.014526321197 131: 1.........2.........3........4...................5..........6...........7........8....... 1 -9.561610650197 2 0.060333064678 3 -13.311561847194 4 0.091813448248 5 1.264184698318 6 -0.068851771915 7 -2.776201360099 8 -0.014524503040 132: 1.........2.........3........4...................5..........6..........7........8............... 1 -11.211324000532 2 0.080499481387 3 -11.534523184767 4 0.070951238492 5 0.868294913853 6 -0.064116781761 7 -2.823405150705 8 -0.014536596737 133: 1.........2.........3........4...................5..............6...........7........8........ 1 -11.325310955194 2 0.081616513818 3 -11.380980714273 4 0.068831965017 5 0.838804004101 6 -0.063946246576 7 -2.827156746942 8 -0.014528250125 134: 1.........2.........3........4....................5..........6...........7................8........... 1 -11.341383332565 2 0.081799321174 3 -11.416642934906 4 0.069267171229 5 0.838213512157 6 -0.063887081804 7 -2.826532965018 8 -0.014533217276 135: 1...................2..............3...........4....................5..........6....................7.........8................... 1 -11.341251180867 2 0.081809169639 3 -11.417519238440 4 0.069282438001 5 0.837970168424 6 -0.063846744439 7 -2.824855670714 8 -0.014529898929 136: 1.........2.........3...........4.......................5.............6..........7.........8....... 1 -11.343266349117 2 0.081826536932 3 -11.402053359447 4 0.069094032402 5 0.836444724102 6 -0.063829057413 7 -2.824951916980 8 -0.014526594646 137: 1...................2............3.........4......................5............6.............7........8............ 1 -11.343831993268 2 0.081795493001 3 -11.290080377801 4 0.067708454220 5 0.823149667183 6 -0.063668261224 7 -2.828143430305 8 -0.014467790128 138: 1..........2...........3........4...................5..........6........7............8............ 1 -11.346751409083 2 0.081796777704 3 -11.192371885181 4 0.066502288381 5 0.801418624881 6 -0.063410285815 7 -2.836818340196 8 -0.014350793327 139: 1.........2.........3........4...................5..........6........7...............8............ 1 -11.375014786746 2 0.082022174368 3 -10.818445447108 4 0.061912610253 5 0.651625897249 6 -0.061563815283 7 -2.904793363312 8 -0.013469599464 140: 1.........2.........3........4...................5..........6........7..........8............. 1 -11.499043733155 2 0.083397251873 3 -10.221945018250 4 0.054692794514 5 0.107569323894 6 -0.054805981466 7 -3.176375920307 8 -0.010082569530 141: 1.........2.........3........4...................5..........6........7........8............... 1 -11.844397469756 2 0.087626315750 3 -9.770871849589 4 0.049494625340 5 -1.251671942221 6 -0.038145984122 7 -3.899459022947 8 -0.001378656361 142: 1.........2.........3.......4....................5..........6........7.......8........ 1 -11.996154705745 2 0.089595739240 3 -10.202178290556 4 0.054914300199 5 -1.736816996815 6 -0.032603501689 7 -4.195445460669 8 0.001851431541 143: 1.........2.........3........4...................5..........6........7.......8........... 1 -12.257848313175 2 0.092590175903 3 -10.659297588498 4 0.060801061546 5 -2.636345521773 6 -0.022503755449 7 -4.759965806192 8 0.007771382648 144: 1.........2.........3........4...................5...........6............7........8........ 1 -12.259355038489 2 0.092549116189 3 -10.639209883812 4 0.060547018980 5 -2.686694919856 6 -0.021803626396 7 -4.793492695050 8 0.008110866391 145: 1.........2........3..........4....................5.........6...........7........8............ 1 -12.249881875797 2 0.092416898758 3 -10.672130776899 4 0.060971129165 5 -2.650573576969 6 -0.022247759312 7 -4.775642845095 8 0.007884230865 146: 1...........2.........3........4......................5...........6................7..............8................... 1 -12.245665107054 2 0.092363468788 3 -10.673080204933 4 0.060982828797 5 -2.645055980488 6 -0.022326293527 7 -4.772832315501 8 0.007851766610 147: 1..........2...............3................4......................5.................6..............7...............8............. 148: #Number of iterations = 34, -2 Log likelihood = 46542.397795763849 149: # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ... 150: 12 -12.245160 0.092357 151: 13 -10.672078 0.060971 152: 21 -2.645815 -0.022320 153: 23 -4.773208 0.007857 154: 155: Calculation of the hessian matrix. Wait... 156: 12345678.12.13.14.15.16.17.18.23.24.25.26.27.28.34.35.36.37.38.45.46.47.48.56.57.58.67.68.78 157: 158: Inverting the hessian to get the covariance matrix. Wait... 159: 160: #Hessian matrix# 161: 2.314e+003 1.908e+005 4.106e+002 3.377e+004 -3.590e+002 -2.992e+004 -3.183e+002 -2.621e+004 162: 1.908e+005 1.581e+007 3.349e+004 2.769e+006 -2.988e+004 -2.506e+006 -2.611e+004 -2.161e+006 163: 4.106e+002 3.349e+004 8.125e+002 6.556e+004 -8.089e+001 -6.779e+003 3.862e+002 3.193e+004 164: 3.377e+004 2.769e+006 6.556e+004 5.317e+006 -6.824e+003 -5.754e+005 3.190e+004 2.651e+006 165: -3.590e+002 -2.988e+004 -8.089e+001 -6.824e+003 4.524e+002 3.800e+004 4.993e+001 4.166e+003 166: -2.992e+004 -2.506e+006 -6.779e+003 -5.754e+005 3.800e+004 3.210e+006 4.173e+003 3.501e+005 167: -3.183e+002 -2.611e+004 3.862e+002 3.190e+004 4.993e+001 4.173e+003 1.039e+003 8.943e+004 168: -2.621e+004 -2.161e+006 3.193e+004 2.651e+006 4.166e+003 3.501e+005 8.943e+004 7.740e+006 169: # Scales (for hessian or gradient estimation) 170: 12 1.00000e-004 1.00000e-006 171: 13 1.00000e-004 1.00000e-006 172: 21 1.00000e-003 1.00000e-006 173: 23 1.00000e-004 1.00000e-005 174: # Covariance matrix 175: # 121 Var(a12) 176: # 122 Cov(b12,a12) Var(b12) 177: # ... 178: # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23) 179: #121 Var(a12) 180: #122 Cov(b12,a12) Var(b12) 181: #131 Cov(a13,a12) Cov(a13,b12) Var(a13) 182: #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,a13) Var(b13) 183: #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,a13) Cov(a21,b13) Var(a21) 184: #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21) 185: #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23) 186: #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23) 187: 121 1.12641e-001 188: 122 -1.35168e-003 1.63147e-005 189: 131 -6.15783e-002 7.47501e-004 3.20023e-001 190: 132 7.30656e-004 -8.95009e-006 -3.93444e-003 4.86922e-005 191: 211 8.34954e-002 -9.96445e-004 2.19213e-002 -2.86865e-004 4.89982e-001 192: 212 -9.95687e-004 1.19356e-005 -2.78360e-004 3.64465e-006 -5.80715e-003 6.91834e-005 193: 231 5.25828e-002 -5.99555e-004 -1.07947e-001 1.23483e-003 -4.52302e-004 7.66983e-006 2.43192e-001 194: 232 -5.99669e-004 6.88392e-006 1.27573e-003 -1.47509e-005 1.65541e-005 -2.31945e-007 -2.77700e-003 3.18981e-005 195: begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0 196: prevforecast=0 starting-proj-date=1/1/2000 final-proj-date=1/1/2000 mobil_average=0 197: Computing stable prevalence: result on file 'plrbiaspar.txt' 198: 199: #************ 200: Computing pij: result on file 'pijrbiaspar.txt' 201: Computing standard deviation of one-step probabilities: result on file 'probrbiaspar.txt' 202: Computing matrix of variance covariance of one-step probabilities: result on file 'probcovrbiaspar.txt' 203: and correlation matrix of one-step probabilities: result on file 'probcorrbiaspar.txt' 204: 65 13-12 mu 1.4593e-002 2.3279e-002 Var 3.0341e-006 3.1635e-006 cor -0.365 cov -1.1314e-006 Eig 4.232e-006 1.966e-006 1stv 0.687 -0.727 tan -1.059 205: 70 13-12 mu 1.9763e-002 3.6884e-002 Var 3.0384e-006 4.5353e-006 cor -0.388 cov -1.4408e-006 Eig 5.410e-006 2.163e-006 1stv 0.519 -0.855 tan -1.646 206: 75 13-12 mu 2.6743e-002 5.8392e-002 Var 2.6775e-006 5.6183e-006 cor -0.431 cov -1.6704e-006 Eig 6.373e-006 1.923e-006 1stv 0.412 -0.911 tan -2.213 207: 80 13-12 mu 3.6143e-002 9.2326e-002 Var 2.7937e-006 6.6302e-006 cor -0.475 cov -2.0432e-006 Eig 7.515e-006 1.909e-006 1stv 0.397 -0.918 tan -2.311 208: 85 13-12 mu 4.8753e-002 1.4570e-001 Var 7.0338e-006 1.5206e-005 cor -0.419 cov -4.3362e-006 Eig 1.708e-005 5.162e-006 1stv 0.396 -0.918 tan -2.316 209: 90 13-12 mu 6.5568e-002 2.2924e-001 Var 2.6664e-005 7.5815e-005 cor -0.360 cov -1.6178e-005 Eig 8.066e-005 2.182e-005 1stv 0.287 -0.958 tan -3.338 210: 95 13-12 mu 8.7783e-002 3.5906e-001 Var 9.1463e-005 3.7510e-004 cor -0.346 cov -6.4063e-005 Eig 3.889e-004 7.766e-005 1stv 0.211 -0.978 tan -4.643 211: 65 21-12 mu 1.9360e-001 2.3279e-002 Var 9.9237e-004 3.1635e-006 cor 0.346 cov 1.9394e-005 Eig 9.928e-004 2.783e-006 1stv 1.000 0.020 tan 0.020 212: 70 21-12 mu 1.7336e-001 3.6884e-002 Var 4.6644e-004 4.5353e-006 cor 0.341 cov 1.5681e-005 Eig 4.670e-004 4.004e-006 1stv 0.999 0.034 tan 0.034 213: 75 21-12 mu 1.5520e-001 5.8392e-002 Var 1.8929e-004 5.6183e-006 cor 0.328 cov 1.0707e-005 Eig 1.899e-004 4.996e-006 1stv 0.998 0.058 tan 0.058 214: 80 21-12 mu 1.3892e-001 9.2326e-002 Var 6.8114e-005 6.6302e-006 cor 0.297 cov 6.3116e-006 Eig 6.875e-005 5.989e-006 1stv 0.995 0.101 tan 0.102 215: 85 21-12 mu 1.2432e-001 1.4570e-001 Var 3.9653e-005 1.5206e-005 cor 0.283 cov 6.9398e-006 Eig 4.149e-005 1.337e-005 1stv 0.967 0.255 tan 0.264 216: 90 21-12 mu 1.1125e-001 2.2924e-001 Var 6.1785e-005 7.5815e-005 cor 0.316 cov 2.1606e-005 Eig 9.152e-005 4.608e-005 1stv 0.588 0.809 tan 1.376 217: 95 21-12 mu 9.9529e-002 3.5906e-001 Var 1.0730e-004 3.7510e-004 cor 0.332 cov 6.6677e-005 Eig 3.908e-004 9.162e-005 1stv 0.229 0.973 tan 4.252 218: 65 23-12 mu 1.6401e-001 2.3279e-002 Var 4.4369e-004 3.1635e-006 cor 0.367 cov 1.3733e-005 Eig 4.441e-004 2.736e-006 1stv 1.000 0.031 tan 0.031 219: 70 23-12 mu 1.7078e-001 3.6884e-002 Var 3.0364e-004 4.5353e-006 cor 0.390 cov 1.4477e-005 Eig 3.043e-004 3.836e-006 1stv 0.999 0.048 tan 0.048 220: 75 23-12 mu 1.7779e-001 5.8392e-002 Var 1.8621e-004 5.6183e-006 cor 0.426 cov 1.3769e-005 Eig 1.873e-004 4.574e-006 1stv 0.997 0.076 tan 0.076 221: 80 23-12 mu 1.8506e-001 9.2326e-002 Var 1.0029e-004 6.6302e-006 cor 0.453 cov 1.1693e-005 Eig 1.017e-004 5.192e-006 1stv 0.993 0.122 tan 0.123 222: 85 23-12 mu 1.9259e-001 1.4570e-001 Var 5.6316e-005 1.5206e-005 cor 0.359 cov 1.0514e-005 Eig 5.885e-005 1.267e-005 1stv 0.972 0.234 tan 0.241 223: 90 23-12 mu 2.0040e-001 2.2924e-001 Var 6.6423e-005 7.5815e-005 cor 0.257 cov 1.8270e-005 Eig 8.998e-005 5.226e-005 1stv 0.613 0.790 tan 1.290 224: 95 23-12 mu 2.0849e-001 3.5906e-001 Var 1.4472e-004 3.7510e-004 cor 0.241 cov 5.6144e-005 Eig 3.881e-004 1.318e-004 1stv 0.225 0.974 tan 4.334 225: 65 21-13 mu 1.9360e-001 1.4593e-002 Var 9.9237e-004 3.0341e-006 cor 0.034 cov 1.8605e-006 Eig 9.924e-004 3.031e-006 1stv 1.000 0.002 tan 0.002 226: 70 21-13 mu 1.7336e-001 1.9763e-002 Var 4.6644e-004 3.0384e-006 cor 0.024 cov 9.1482e-007 Eig 4.664e-004 3.037e-006 1stv 1.000 0.002 tan 0.002 227: 75 21-13 mu 1.5520e-001 2.6743e-002 Var 1.8929e-004 2.6775e-006 cor 0.012 cov 2.6204e-007 Eig 1.893e-004 2.677e-006 1stv 1.000 0.001 tan 0.001 228: 80 21-13 mu 1.3892e-001 3.6143e-002 Var 6.8114e-005 2.7937e-006 cor 0.017 cov 2.4067e-007 Eig 6.811e-005 2.793e-006 1stv 1.000 0.004 tan 0.004 229: 85 21-13 mu 1.2432e-001 4.8753e-002 Var 3.9653e-005 7.0338e-006 cor 0.080 cov 1.3331e-006 Eig 3.971e-005 6.979e-006 1stv 0.999 0.041 tan 0.041 230: 90 21-13 mu 1.1125e-001 6.5568e-002 Var 6.1785e-005 2.6664e-005 cor 0.103 cov 4.1739e-006 Eig 6.227e-005 2.617e-005 1stv 0.993 0.116 tan 0.117 231: 95 21-13 mu 9.9529e-002 8.7783e-002 Var 1.0730e-004 9.1463e-005 cor 0.096 cov 9.4967e-006 Eig 1.117e-004 8.702e-005 1stv 0.906 0.424 tan 0.468 232: 65 23-13 mu 1.6401e-001 1.4593e-002 Var 4.4369e-004 3.0341e-006 cor -0.456 cov -1.6739e-005 Eig 4.443e-004 2.399e-006 1stv 0.999 -0.038 tan -0.038 233: 70 23-13 mu 1.7078e-001 1.9763e-002 Var 3.0364e-004 3.0384e-006 cor -0.492 cov -1.4938e-005 Eig 3.044e-004 2.298e-006 1stv 0.999 -0.050 tan -0.050 234: 75 23-13 mu 1.7779e-001 2.6743e-002 Var 1.8621e-004 2.6775e-006 cor -0.552 cov -1.2318e-005 Eig 1.870e-004 1.854e-006 1stv 0.998 -0.067 tan -0.067 235: 80 23-13 mu 1.8506e-001 3.6143e-002 Var 1.0029e-004 2.7937e-006 cor -0.594 cov -9.9366e-006 Eig 1.013e-004 1.791e-006 1stv 0.995 -0.100 tan -0.101 236: 85 23-13 mu 1.9259e-001 4.8753e-002 Var 5.6316e-005 7.0338e-006 cor -0.523 cov -1.0409e-005 Eig 5.842e-005 4.925e-006 1stv 0.980 -0.199 tan -0.203 237: 90 23-13 mu 2.0040e-001 6.5568e-002 Var 6.6423e-005 2.6664e-005 cor -0.456 cov -1.9170e-005 Eig 7.416e-005 1.893e-005 1stv 0.927 -0.374 tan -0.404 238: 95 23-13 mu 2.0849e-001 8.7783e-002 Var 1.4472e-004 9.1463e-005 cor -0.404 cov -4.6471e-005 Eig 1.716e-004 6.453e-005 1stv 0.865 -0.501 tan -0.580 239: 65 23-21 mu 1.6401e-001 1.9360e-001 Var 4.4369e-004 9.9237e-004 cor -0.025 cov -1.6657e-005 Eig 9.929e-004 4.432e-004 1stv 0.030 -1.000 tan -32.971 240: 70 23-21 mu 1.7078e-001 1.7336e-001 Var 3.0364e-004 4.6644e-004 cor -0.022 cov -8.1118e-006 Eig 4.668e-004 3.032e-004 1stv 0.050 -0.999 tan -20.120 241: 75 23-21 mu 1.7779e-001 1.5520e-001 Var 1.8621e-004 1.8929e-004 cor -0.020 cov -3.6810e-006 Eig 1.917e-004 1.838e-004 1stv 0.554 -0.833 tan -1.503 242: 80 23-21 mu 1.8506e-001 1.3892e-001 Var 1.0029e-004 6.8114e-005 cor -0.027 cov -2.2125e-006 Eig 1.004e-004 6.796e-005 1stv 0.998 -0.068 tan -0.068 243: 85 23-21 mu 1.9259e-001 1.2432e-001 Var 5.6316e-005 3.9653e-005 cor -0.060 cov -2.8454e-006 Eig 5.679e-005 3.918e-005 1stv 0.986 -0.164 tan -0.166 244: 90 23-21 mu 2.0040e-001 1.1125e-001 Var 6.6423e-005 6.1785e-005 cor -0.077 cov -4.9431e-006 Eig 6.956e-005 5.864e-005 1stv 0.844 -0.536 tan -0.635 245: 95 23-21 mu 2.0849e-001 9.9529e-002 Var 1.4472e-004 1.0730e-004 cor -0.065 cov -8.0394e-006 Eig 1.464e-004 1.056e-004 1stv 0.979 -0.202 tan -0.206 246: Computing Total LEs with variances: file 'trbiaspar.txt' 247: Computing Health Expectancies: result on file 'erbiaspar.txt' 248: Computing Variance-covariance of DFLEs: file 'vrbiaspar.txt' 249: 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| 250: Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file 'prmorprev1-stablbased-rbiaspar.txt' 251: End of Imach 252: Local time at start Wed Jun 16 20:01:29 2004 253: 254: Local time at end Wed Jun 16 21:55:16 2004 255: 256: Total time used 0 day(s) 1 hour(s) 53 minute(s) 47 second(s) 257: Total time was 6827 Sec.