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Annotation of imach/html/doc/rbiaspar.imach, revision 1.6

1.6     ! brouard     1: #IMaCh 0.99r24
        !             2: #0.99r24
1.5       brouard     3: #Number of iterations & function calls = 33 & 6007, -2 Log likelihood = 46617.105944307616
                      4: title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4
                      5: ftol=1.000000e-08 stepm=1 ncovcol=2 nqv=0 ntv=0 nqtv=0 nlstate=2 ndeath=1 maxwav=4 mle=0 weight=0
                      6: model=1+age+
                      7: #Number of iterations & function calls = 2 & 425, -2 Log likelihood = 46617.105944307536
                      8: # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
                      9: 12  -12.3175784    0.0931122 
                     10: 13  -10.1631705    0.0548384 
                     11: 21   -1.6685685   -0.0339056 
                     12: 23   -5.6869199    0.0181350 
                     13: # Scales (for hessian or gradient estimation)
                     14: 12 2.00000e-04 2.00000e-06
                     15: 13 3.00000e-04 4.00000e-06
                     16: 21 1.00000e-04 1.00000e-06
                     17: 23 3.00000e-04 3.00000e-06
                     18: # Covariance matrix 
                     19: # 121 Var(a12)
                     20: # 122 Cov(b12,a12) Var(b12)
                     21: #   ...
                     22: # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)
                     23: #121 Var(a12)
                     24: #122 Cov(b12,a12) Var(b12)
                     25: #131 Cov(a13,a12) Cov(a13,b12) Var(a13)
                     26: #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,a13) Var(b13)
                     27: #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,a13) Cov(a21,b13) Var(a21)
                     28: #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)
                     29: #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)
                     30: #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23)
                     31: 121 1.0942155e-01
                     32: 122 -1.31211e-03 1.5827559e-05
                     33: 131 -5.42260e-02 6.63610e-04 3.0218559e-01
                     34: 132 6.46897e-04 -7.99273e-06 -3.73518e-03 4.6465922e-05
                     35: 211 8.05586e-02 -9.61087e-04 1.88983e-02 -2.43008e-04 4.8553004e-01
                     36: 212 -9.60482e-04 1.15119e-05 -2.38550e-04 3.07513e-06 -5.77598e-03 6.9069819e-05
                     37: 231 4.89528e-02 -5.53986e-04 -9.43826e-02 1.06862e-03 -1.83095e-03 2.05848e-05 2.5001784e-01
                     38: 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
                     39: # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
                     40: # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
                     41: agemin=70 agemax=95 bage=70 fage=95 estepm=1 ftolpl=6.000000e-04
                     42: begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0
                     43: pop_based=1
                     44: prevforecast=1 starting-proj-date=1/1/1989 final-proj-date=1/1/2000 mobil_average=0
                     45: #backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1
                     46: # Results model=1+age.
                     47: result:  .