writing an R code for a given model

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

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