
> 
> Two questions:
> 
> I have a lot of data for which the last of each of the repeated individual
> obserations is censored.  Apart from the suite in survival, which seems to
> be very complex to a new R user, is there any other simple function that
> exists in CRAN library (I have most of these but haven't found one!) that
> is essentially the same as lm() but with an additional censor argument
> (vector of -1,0,1 say, recalling my GLIM background) so that the left,
> uncensored or right censored data may be simply analysed. 

gnlr and gnlr3 in my gnlm library do exactly this with that exact
coding. Give the response as two such columns and it looks after the
rest. However, because the functions are essentially for nonlinear
regression, initial estimates of all parameters must be supplied.
The linear part of a regression can be specified by Wilkinson and
Rogers notation and the nonlinear part (if there is one) by an R function.

> 
> Obviously I could write my own fairly simply using nlm() and model frames
> but just asking ... if I write my own, I can post it on the list. 
> 
> The second question relates to a few problems with glm() that have been
> found today and recently (the offset problem) by Jim comparing with his
> own glmm() function. I don't follow the r-bugs list (these things are too
> depressing!) but are these bugs either serious, occasional or a result of
> esoteric problems?  One would like to know since I don't have immediate
> access to (say) S+ to see whether the results are the same (or the errors
> reproduced). 
> 

Most problems that I have found with glm are readily detectable and
quickly corrected with the following upgrade. glm is generally
reliable but slow, not made for even medium sized data sets. It works
like S-Plus, not taking advantage of the R scoping rules.
  Jim
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