Dear R-user,
I am trying to use the R nlme function to fit a non linear mixed
effects model. The method has some problem to reach the convergence.
I am trying to understand causes of the problem by following step by
step evolution of the iterative algorithm (verbose=TRUE command).
However, I
if it is possible to fix the values of the
fixed effects so that the model only has to estimate the random effects?
Thank you for your help and answers.
Regards,
Thomas Brunel
pds.fit-nlme(pds~(exp (lna)/(exp (lnb) + 1/(1 + exp(1000 * (exp
(lntmat) - t + 0.5))) * exp (lnc)))^4 * (1 - (1 - ( 0.051 * (1
