Hello r-help,
I am doing a simulation study nonlinear mixed effects models by using nlme. Here is a simple example 
fm.log1<-function(n){
result1<-matrix(0,n,5)
for (j in 1:n){
x=rep(rnorm(8,10,5),6)
b1=20
b2=rep(rnorm(8,0,2),each=6)
b3=15
b4=4
e=rnorm(48,0,1)
y=(b1+b2)/(1+exp((b3-x)/b4))+e
z=rep(1:6,each=8)
o=data.frame(cbind(z,x,y))
oo=groupedData(y~x|z,data=o)
CO.func<-function(x,A,B,C) A/(1+(exp((B-x)/C)))
fn.ML<-nlme(model=y~CO.func(x,A,B,C),data=oo,
fixed=A+B+C~1,random=A~1,start = c(A=20.5,B=13,C=4.5))
result1[j,]<-matrix(c(fn.ML$coef$fixed,as.numeric(VarCorr(fn.ML)[,1])),5,1)}
apply(result1,2,mean)}

It is a logistic model with one random effect. When I take a large simulation size n such as 100, the program can not run and error messages will appear. I believe it is the problem of simulation. Sometimes the simulated data may not be good to use nlme. How should I fix this problem to do the simulation study? Thanks


 

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