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Annotation of imach/tests/rtestV1V2.imach, revision 1.1

1.1     ! brouard     1: #IMaCh 0.99r19
        !             2: #Imach version 0.98q4, July 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015
        !             3: #$Revision: 1.1 $ $Date: 2015/09/16 08:50:20 $
        !             4: # ADL ANALYSIS USING SABE 2000 2006 AND 2010 by sex basic model with weights
        !             5: #
        !             6: title=testV1V2 datafile=data/data2.txt lastobs=2500 firstpass=1 lastpass=3
        !             7: ftol=1.000000e-08 stepm=24 ncovcol=2 nqv=0 ntv=0 nqtv=0 nlstate=2 ndeath=1 maxwav=3 mle=0 weight=1
        !             8: model=1+age+V1+V2
        !             9: #Number of iterations & function calls = 44 & 11274, -2 Log likelihood = 6568.644595792887
        !            10: # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
        !            11: 12   -8.4007589    0.0846338    0.4298422    0.2413789 
        !            12: 13   -7.8292410    0.0764329   -0.6511670    0.4381632 
        !            13: 21    2.5080274   -0.0490787   -0.2477004   -0.4679809 
        !            14: 23   -7.8772233    0.0916215   -0.7904977    0.1429788 
        !            15: # Scales (for hessian or gradient estimation)
        !            16: 12 1.00000e-04 1.00000e-06 1.00000e-04 1.00000e-03
        !            17: 13 1.00000e-04 1.00000e-06 1.00000e-04 1.00000e-03
        !            18: 21 1.00000e-04 1.00000e-05 1.00000e-03 2.00000e-03
        !            19: 23 1.00000e-04 1.00000e-06 1.00000e-04 1.00000e-03
        !            20: # Covariance matrix 
        !            21: # 121 Var(a12)
        !            22: # 122 Cov(b12,a12) Var(b12)
        !            23: #   ...
        !            24: # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)
        !            25: #121 Var(a12)
        !            26: #122 Cov(b12,a12) Var(b12)
        !            27: #123 Cov(c12,a12) Cov(c12,b12) Var(c12)
        !            28: #124 Cov(d12,a12) Cov(d12,b12) Cov(d12,c12) Var(d12)
        !            29: #131 Cov(a13,a12) Cov(a13,b12) Cov(a13,c12) Cov(a13,d12) Var(a13)
        !            30: #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,c12) Cov(b13,d12) Cov(b13,a13) Var(b13)
        !            31: #133 Cov(c13,a12) Cov(c13,b12) Cov(c13,c12) Cov(c13,d12) Cov(c13,a13) Cov(c13,b13) Var(c13)
        !            32: #134 Cov(d13,a12) Cov(d13,b12) Cov(d13,c12) Cov(d13,d12) Cov(d13,a13) Cov(d13,b13) Cov(d13,c13) Var(d13)
        !            33: #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,c12) Cov(a21,d12) Cov(a21,a13) Cov(a21,b13) Cov(a21,c13) Cov(a21,d13) Var(a21)
        !            34: #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,c12) Cov(b21,d12) Cov(b21,a13) Cov(b21,b13) Cov(b21,c13) Cov(b21,d13) Cov(b21,a21) Var(b21)
        !            35: #213 Cov(c21,a12) Cov(c21,b12) Cov(c21,c12) Cov(c21,d12) Cov(c21,a13) Cov(c21,b13) Cov(c21,c13) Cov(c21,d13) Cov(c21,a21) Cov(c21,b21) Var(c21)
        !            36: #214 Cov(d21,a12) Cov(d21,b12) Cov(d21,c12) Cov(d21,d12) Cov(d21,a13) Cov(d21,b13) Cov(d21,c13) Cov(d21,d13) Cov(d21,a21) Cov(d21,b21) Cov(d21,c21) Var(d21)
        !            37: #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,c12) Cov(a23,d12) Cov(a23,a13) Cov(a23,b13) Cov(a23,c13) Cov(a23,d13) Cov(a23,a21) Cov(a23,b21) Cov(a23,c21) Cov(a23,d21) Var(a23)
        !            38: #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,c12) Cov(b23,d12) Cov(b23,a13) Cov(b23,b13) Cov(b23,c13) Cov(b23,d13) Cov(b23,a21) Cov(b23,b21) Cov(b23,c21) Cov(b23,d21) Cov(b23,a23) Var(b23)
        !            39: #233 Cov(c23,a12) Cov(c23,b12) Cov(c23,c12) Cov(c23,d12) Cov(c23,a13) Cov(c23,b13) Cov(c23,c13) Cov(c23,d13) Cov(c23,a21) Cov(c23,b21) Cov(c23,c21) Cov(c23,d21) Cov(c23,a23) Cov(c23,b23) Var(c23)
        !            40: #234 Cov(d23,a12) Cov(d23,b12) Cov(d23,c12) Cov(d23,d12) Cov(d23,a13) Cov(d23,b13) Cov(d23,c13) Cov(d23,d13) Cov(d23,a21) Cov(d23,b21) Cov(d23,c21) Cov(d23,d21) Cov(d23,a23) Cov(d23,b23) Cov(d23,c23) Var(d23)
        !            41: 121 5.4268852e-01
        !            42: 122 -7.11854e-03 9.5579965e-05
        !            43: 123 -1.48684e-02 4.39899e-05 1.7966346e-02
        !            44: 124 -1.34549e-02 1.26720e-04 -1.38058e-03 2.5822775e-02
        !            45: 131 -1.78939e-03 4.91463e-05 -2.51484e-04 -6.35730e-04 4.8019718e-01
        !            46: 132 2.41004e-05 -6.82661e-07 4.41637e-06 8.88001e-06 -6.44127e-03 8.7824690e-05
        !            47: 133 4.19506e-04 -3.93418e-06 -6.38348e-04 1.99837e-04 -7.55367e-03 1.27234e-05 1.7415463e-02
        !            48: 134 -2.72721e-03 3.33329e-05 5.30571e-04 -1.79779e-03 -1.20218e-02 9.65866e-05 -5.92169e-04 2.4858950e-02
        !            49: 211 3.99674e-01 -5.28856e-03 -1.59870e-02 -7.06766e-03 1.06382e-01 -1.39734e-03 -6.94239e-03 -4.27912e-03 1.5721160e+00
        !            50: 212 -5.26759e-03 7.15833e-05 8.70935e-05 5.15846e-05 -1.42768e-03 1.92908e-05 5.96955e-05 3.50855e-05 -2.08501e-02 2.8564196e-04
        !            51: 213 -1.63498e-02 9.02504e-05 1.40796e-02 -7.20703e-04 -3.90971e-03 1.55219e-05 3.31987e-03 1.17958e-03 -5.55110e-02 1.15805e-04 6.3407460e-02
        !            52: 214 -8.64785e-03 7.32202e-05 -7.83536e-04 1.59629e-02 -1.60307e-03 6.78922e-06 5.77836e-04 3.09804e-03 -2.93339e-02 1.94839e-04 -6.83085e-05 7.3823566e-02
        !            53: 231 1.05224e-01 -1.32976e-03 -4.11003e-03 5.41628e-04 -8.33113e-02 1.04896e-03 -1.68910e-03 5.22478e-04 1.97205e-01 -2.58756e-03 -4.42548e-03 -4.75382e-03 6.1437470e-01
        !            54: 232 -1.37025e-03 1.80783e-05 2.53175e-06 -1.55763e-05 1.10913e-03 -1.45523e-05 5.66023e-05 9.97552e-06 -2.67543e-03 3.65610e-05 -3.47855e-05 3.98014e-05 -7.53233e-03 9.5676054e-05
        !            55: 233 -2.37887e-03 -2.10840e-05 5.75412e-03 -8.28930e-04 -3.13102e-04 3.99490e-05 -5.62061e-03 2.71475e-04 -1.08191e-03 -8.54727e-05 1.02432e-02 -1.16609e-03 -1.84936e-03 -2.19808e-04 2.8895480e-02
        !            56: 234 1.01994e-03 -2.59144e-05 -8.63511e-04 7.70251e-03 1.69781e-03 -8.13868e-07 1.30847e-04 -7.98535e-03 2.39620e-03 -5.63085e-05 -1.24925e-03 1.03521e-02 -1.79418e-02 1.28599e-04 -6.54479e-04 3.5846620e-02
        !            57: # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
        !            58: # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
        !            59: agemin=60 agemax=95 bage=60 fage=95 estepm=24 ftolpl=6.000000e-05
        !            60: # Observed prevalence period
        !            61: begin-prev-date=1/1/2000 end-prev-date=12/12/2006 mov_average=0
        !            62: # Health expectancies computed from stable (period) prevalence (pop_based=0) or population based (1)
        !            63: pop_based=1
        !            64: # Prevalence forecasting
        !            65: #prevforecast=0 starting-proj-date=1/1/1998 final-proj-date=1/1/2002 mobil_average=1
        !            66: prevforecast=1 yearsfproj=10.000000 mobil_average=0
        !            67: prevbackcast=1 yearsfproj=10.000000 mobil_average=1
        !            68: result: V1=0 V2=0
        !            69: result: V1=1 V2=0
        !            70: result: V1=1 V2=1
        !            71: result: V1=0 V2=0