Hello all,
For NLME function in SPLUS, I would like to estimate
individual parameters by fixing population estimates. I am not interested in
estimating population parameters.
Here is a part of NLME code that I am working with. It
works fine for the estimation purposes. There are 3 fixed effect parameters(LNCL,
LNCLM, LNV) + random variability on 2 parameters (LNCL, LNV) + residual error. I
would like to try different combinations of population estimates. Do I fix
number of iterations to zero? If yes, how?
nlme.fit<-nlme(log(obscp)~log(dose*exp(-exp(lncl+lndclm*ismale)*time/exp(lnv))/exp(lnv)),
data="">
fixed=lncl+lndclm+lnv~1,
random=lncl+lnv~1|id,
start=c(log(clf),log(clm-clf),log(v)))
Thank you very much,
Pravin
Pravin Jadhav