R : catching errors in `nls`

Question

I\'m fitting some exponential data using nls.

The code I\'m using is:

fit <- nls(y ~ expFit(times, A, tau, C), start = c(A=100, tau=-         


        

Answer 1

I usually use this trick:

params<-... # setup default params.

while(TRUE){

fit<-NULL
try(fit<-nls(...)); # does not stop in the case of error

if(!is.null(fit))break; # if nls works, then quit from the loop

params<-... # change the params for nls

}