*** empty log message ***

diff --git a/src/imach.c b/src/imach.c
index eedf8cdf38ed021ae5a2979a8b5d963a3fd726e1..a4e42f86594a8c93ee43d0fb31c517cb01ece0f5 100644 (file)
--- a/src/imach.c
+++ b/src/imach.c
@@ -1,6 +1,9 @@
 /* $Id$
   $State$
   $Log$
+  Revision 1.246  2016/09/02 08:49:22  brouard
+  *** empty log message ***
+
   Revision 1.245  2016/09/02 07:25:01  brouard
   *** empty log message ***
 
@@ -2581,6 +2584,7 @@ Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax,
   /* If we start from prlim again, prlim tends to a constant matrix */
 
   int i, ii,j,k;
+  int first=0;
   double *min, *max, *meandiff, maxmax,sumnew=0.;
   /* double **matprod2(); */ /* test */
   double **out, cov[NCOVMAX+1], **bmij();
@@ -2706,7 +2710,12 @@ Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax,
     }
   } /* age loop */
     /* After some age loop it doesn't converge */
-  printf("Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\
+  if(first){
+    first=1;
+    printf("Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. Others in log file only...\n\
+Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);
+  }
+  fprintf(ficlog,"Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\
 Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);
   /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */
   free_vector(min,1,nlstate);
@@ -3593,10 +3602,11 @@ double funcone( double *x)
       agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */
       ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */
       for(d=0; d<dh[mi][i]; d++){  /* Delay between two effective waves */
+      /* for(d=0; d<=0; d++){  /\* Delay between two effective waves Only one matrix to speed up*\/ */
        /*dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i]
          and mw[mi+1][i]. dh depends on stepm.*/
        newm=savm;
-       agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
+       agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;  /* Here d is needed */
        cov[2]=agexact;
        if(nagesqr==1)
          cov[3]= agexact*agexact;
@@ -9874,6 +9884,12 @@ int main(int argc, char *argv[])
   delti=delti3[1][1];
   /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/
   if(mle==-1){ /* Print a wizard for help writing covariance matrix */
+/* We could also provide initial parameters values giving by simple logistic regression 
+ * only one way, that is without matrix product. We will have nlstate maximizations */
+      /* for(i=1;i<nlstate;i++){ */
+      /*       /\*reducing xi for 1 to npar to 1 to ncovmodel; *\/ */
+      /*    mlikeli(ficres,p, ncovmodel, ncovmodel, nlstate, ftol, funcnoprod); */
+      /* } */
     prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
     printf(" You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
     fprintf(ficlog," You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
@@ -10646,6 +10662,10 @@ Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpa
     printf("\n");
     if(mle>=1){ /* Could be 1 or 2, Real Maximization */
       /* mlikeli uses func not funcone */
+      /* for(i=1;i<nlstate;i++){ */
+      /*       /\*reducing xi for 1 to npar to 1 to ncovmodel; *\/ */
+      /*    mlikeli(ficres,p, ncovmodel, ncovmodel, nlstate, ftol, funcnoprod); */
+      /* } */
       mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
     }
     if(mle==0) {/* No optimization, will print the likelihoods for the datafile */