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version 1.3, 2015/08/18 16:43:19 version 1.7, 2022/03/15 18:43:13
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 # Imach version 0.98q2, April 2015, INED-EUROREVES  #0.99r24
   #Number of iterations & function calls = 33 & 6007, -2 Log likelihood = 46617.105944307616
 title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4  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  ftol=1.000000e-08 stepm=1 ncovcol=2 nqv=0 ntv=0 nqtv=0 nlstate=2 ndeath=1 maxwav=4 mle= 1 weight=0
 model=1+age+.  model=1+age+.
 #q Parameters  # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
 12 -12.245240 0.092358  12  -12.3175753    0.0931122
 13 -10.671890 0.060969  13  -10.1631670    0.0548384
 21 -2.645345 -0.022325  21   -1.6685685   -0.0339056
 23 -4.773317 0.007859  23   -5.6869201    0.0181350
 # Scales  # Scales (for hessian or gradient estimation)
 12 0. 0.  12 2.00000e-04 2.00000e-06
 13 0. 0.  13 3.00000e-04 4.00000e-06
 21 0. 0.  21 1.00000e-04 1.00000e-06
 23 0. 0.  23 3.00000e-04 3.00000e-06
 #covariance matrix#  # Covariance matrix
 121 0.  # 121 Var(a12)
 122 0. 0.  # 122 Cov(b12,a12) Var(b12)
 131 0. 0. 0.  #   ...
 132 0. 0. 0. 0.  # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)
 211 0. 0. 0. 0. 0.  #121 Var(a12)
 212 0. 0. 0. 0. 0. 0.  #122 Cov(b12,a12) Var(b12)
 231 0. 0. 0. 0. 0. 0. 0.  #131 Cov(a13,a12) Cov(a13,b12) Var(a13)
 232 0. 0. 0. 0. 0. 0. 0. 0.  #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,a13) Var(b13)
   #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,a13) Cov(a21,b13) Var(a21)
   #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)
   #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)
   #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23)
   121 1.0846319e-01
   122 -1.30062e-03 1.5689741e-05
   131 -5.39098e-02 6.59806e-04 3.0197746e-01
   132 6.43147e-04 -7.94760e-06 -3.73264e-03 4.6435109e-05
   211 7.75092e-02 -9.24613e-04 1.91004e-02 -2.45003e-04 4.7111318e-01
   212 -9.24119e-04 1.10769e-05 -2.40929e-04 3.09854e-06 -5.60404e-03 6.7019135e-05
   231 4.86258e-02 -5.50028e-04 -9.42536e-02 1.06700e-03 -2.57577e-03 2.94283e-05 2.5010261e-01
   232 -5.52529e-04 6.29410e-06 1.11646e-03 -1.27952e-05 3.55428e-05 -4.16204e-07 -2.83674e-03 3.2358065e-05
 # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).  # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
 agemin=70 agemax=95 bage=65 fage=95  agemin=70 agemax=95 bage=70 fage=95 estepm=1 ftolpl=6.000000e-04
 # Observed prevalence period  begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0
 begin-prev-date=1/1/1984 end-prev-date=1/6/1988 estepm=1  pop_based=1
 # Health expectancies computed from stationary prevalence (pop_based=0) or population based (1)  prevforecast=1 starting-proj-date=1/1/1989 final-proj-date=1/1/2000 mobil_average=0
 pop_based=0  #backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1
 # Prevalence forecasting  # Results model=1+age.
 starting-proj-date=1/1/1989 final-proj-date=1/1/1990 mov_average=0  result: .
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