--- imach/html/doc/rbiaspar.imach	2005/10/25 11:53:26	1.2
+++ imach/html/doc/rbiaspar.imach	2019/05/22 23:12:10	1.5
@@ -1,18 +1,20 @@
-#Imach version 0.98, September 2005, INED-EUROREVES 
-#Number of iterations = 34, -2 Log likelihood = 46542.378402526519 
+#IMaCh 0.99r19
+#0.99r10
+#Number of iterations & function calls = 33 & 6007, -2 Log likelihood = 46617.105944307616
 title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4
-ftol=1.000000e-08 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle= 0 weight=0
-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
+model=1+age+
+#Number of iterations & function calls = 2 & 425, -2 Log likelihood = 46617.105944307536
 # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
-12 -12.245504 0.092361 
-13 -10.670953 0.060958 
-21 -2.645034 -0.022329 
-23 -4.775501 0.007884 
+12  -12.3175784    0.0931122 
+13  -10.1631705    0.0548384 
+21   -1.6685685   -0.0339056 
+23   -5.6869199    0.0181350 
 # Scales (for hessian or gradient estimation)
-12 1.00000e-04 1.00000e-06
-13 1.00000e-04 1.00000e-06
-21 1.00000e-03 1.00000e-06
-23 1.00000e-04 1.00000e-05
+12 2.00000e-04 2.00000e-06
+13 3.00000e-04 4.00000e-06
+21 1.00000e-04 1.00000e-06
+23 3.00000e-04 3.00000e-06
 # Covariance matrix 
 # 121 Var(a12)
 # 122 Cov(b12,a12) Var(b12)
@@ -26,16 +28,20 @@ model=.
 #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 1.13401e-01
-122 -1.36090e-03 1.64264e-05
-131 -6.89393e-02 8.35716e-04 3.31264e-01
-132 8.21021e-04 -1.00329e-05 -4.07026e-03 5.03323e-05
-211 7.49121e-02 -8.92959e-04 1.95088e-02 -2.56008e-04 4.75336e-01
-212 -8.93092e-04 1.06987e-05 -2.49893e-04 3.28027e-06 -5.63203e-03 6.70896e-05
-231 5.58947e-02 -6.39542e-04 -1.16708e-01 1.34217e-03 -9.40960e-04 1.38147e-05 2.47512e-01
-232 -6.38539e-04 7.35309e-06 1.37680e-03 -1.59888e-05 2.13084e-05 -2.92279e-07 -2.82744e-03 3.24870e-05
+121 1.0942155e-01
+122 -1.31211e-03 1.5827559e-05
+131 -5.42260e-02 6.63610e-04 3.0218559e-01
+132 6.46897e-04 -7.99273e-06 -3.73518e-03 4.6465922e-05
+211 8.05586e-02 -9.61087e-04 1.88983e-02 -2.43008e-04 4.8553004e-01
+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=70 agemax=95 bage=70 fage=95 estepm=1 ftolpl=6.000000e-04
 begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0
-pop_based=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:  .