No; use nlm, or optim.
The only things that ms() does for you that optim() doesn''t already
do
are (1) apply the min log-likelihood criterion to every data point, and
(2) return the output in an object of type "ms" that has some methods
written for it. optim() seems more flexible in any case.
I''ve written a few methods for a class I call "mle" to
return
approximate variance-covariance matrices, print summaries, generate
confidence ellipses etc. -- all pretty messy but let me know if you''re
interested.
Ben
On Wed, 24 Jan 2001, Michael Roberts wrote:
> Hello,
>
> Is there an R equivalent for "ms" in Splus? Or should I just
> adapt "nlm"?
>
> Thanks!
>
>
> Michael J. Roberts
> Resource Economics Division, PMT
> USDA-ERS
> 202-694-5557
>
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