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version 1.3, 2006/02/09 15:20:33 version 1.5, 2019/05/22 23:12:10
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 #Imach version 0.98b, January 2006, INED-EUROREVES  #IMaCh 0.99r19
 #Number of iterations = 34, -2 Log likelihood = 46542.395030424377  #0.99r10
 title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4  #Number of iterations & function calls = 33 & 6007, -2 Log likelihood = 46617.105944307616
 ftol=1.000000e-008 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle= 0 weight=0  title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4
 model=.  ftol=1.000000e-08 stepm=1 ncovcol=2 nqv=0 ntv=0 nqtv=0 nlstate=2 ndeath=1 maxwav=4 mle=0 weight=0
 # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...  model=1+age+
 12 -12.245240 0.092358  #Number of iterations & function calls = 2 & 425, -2 Log likelihood = 46617.105944307536
 13 -10.671890 0.060969  # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
 21 -2.645345 -0.022325  12  -12.3175784    0.0931122 
 23 -4.773317 0.007859  13  -10.1631705    0.0548384 
 # Scales (for hessian or gradient estimation)  21   -1.6685685   -0.0339056 
 12 1.00000e-004 1.00000e-006  23   -5.6869199    0.0181350 
 13 1.00000e-004 1.00000e-006  # Scales (for hessian or gradient estimation)
 21 1.00000e-003 1.00000e-006  12 2.00000e-04 2.00000e-06
 23 1.00000e-004 1.00000e-005  13 3.00000e-04 4.00000e-06
 # Covariance matrix  21 1.00000e-04 1.00000e-06
 # 121 Var(a12)  23 3.00000e-04 3.00000e-06
 # 122 Cov(b12,a12) Var(b12)  # Covariance matrix 
 #   ...  # 121 Var(a12)
 # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)  # 122 Cov(b12,a12) Var(b12)
 #121 Var(a12)  #   ...
 #122 Cov(b12,a12) Var(b12)  # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)
 #131 Cov(a13,a12) Cov(a13,b12) Var(a13)  #121 Var(a12)
 #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,a13) Var(b13)  #122 Cov(b12,a12) Var(b12)
 #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,a13) Cov(a21,b13) Var(a21)  #131 Cov(a13,a12) Cov(a13,b12) Var(a13)
 #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)  #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,a13) Var(b13)
 #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)  #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,a13) Cov(a21,b13) Var(a21)
 #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23)  #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)
 121 1.11832e-001  #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)
 122 -1.34196e-003 1.61978e-005  #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23)
 131 -6.31135e-002 7.65687e-004 3.32706e-001  121 1.0942155e-01
 132 7.49702e-004 -9.17551e-006 -4.08921e-003 5.05801e-005  122 -1.31211e-03 1.5827559e-05
 211 7.93255e-002 -9.47003e-004 2.83678e-002 -3.63380e-004 4.85740e-001  131 -5.42260e-02 6.63610e-04 3.0218559e-01
 212 -9.45906e-004 1.13454e-005 -3.55777e-004 4.56374e-006 -5.75682e-003 6.85863e-005  132 6.46897e-04 -7.99273e-06 -3.73518e-03 4.6465922e-05
 231 5.35302e-002 -6.11201e-004 -1.16519e-001 1.34050e-003 -7.78502e-003 9.53787e-005 2.47205e-001  211 8.05586e-02 -9.61087e-04 1.88983e-02 -2.43008e-04 4.8553004e-01
 232 -6.10827e-004 7.02090e-006 1.37532e-003 -1.59782e-005 1.00595e-004 -1.23725e-006 -2.82423e-003 3.24537e-005  212 -9.60482e-04 1.15119e-05 -2.38550e-04 3.07513e-06 -5.77598e-03 6.9069819e-05
   231 4.89528e-02 -5.53986e-04 -9.43826e-02 1.06862e-03 -1.83095e-03 2.05848e-05 2.5001784e-01
   232 -5.56252e-04 6.33917e-06 1.11795e-03 -1.28139e-05 2.71734e-05 -3.16845e-07 -2.83579e-03 3.2347405e-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 estepm=1  # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
 begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0  agemin=70 agemax=95 bage=70 fage=95 estepm=1 ftolpl=6.000000e-04
 pop_based=0  begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0
 prevforecast=0 starting-proj-date=1/1/2000 final-proj-date=1/1/2000 mobil_average=0  pop_based=1
   prevforecast=1 starting-proj-date=1/1/1989 final-proj-date=1/1/2000 mobil_average=0
   #backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1
   # Results model=1+age.
   result:  .
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