Dear R help list, I am desperately looking for any reference explaining by examples how to write R codes in order to fit the parameters of a given model using maximum likelihood or any other criteria function. I know the general structure: First write a code for the maximum likelihood function and afterwards write a code to maximize it using optim and then invert the Hessian to get the standard errors and p-values. What I want is to find a document which gives in detail the R code to do so for some given examples such as linear mixed effect models, survival analysis etc ... where the likelihood has a closed form and when it doesn't have a closed form ... I will then follow the same structure to fit my own model.
Best wishes, Abderrahim [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.