Implementing the EM algorithm will be easy if you know what the algorithm is
for your particular problem. This will be very specific to your problem. The
trick is to augment your data to get something for which there is an easy ML
estimate. I do not believe there is a unique recipe to perform the EM
algorithm for any problem.

On 8/26/06, Pushkar Kumar <pushkar.here@gmail.com> wrote:
>
> Hi All,
> I need some help in how one can implement maximumlikelihood estimation for
> models with discrete hidden variables in EM in R.
>
> Regards
>
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>
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> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Ritwik Sinha
Graduate Student
Epidemiology and Biostatistics
Case Western Reserve University

http://darwin.cwru.edu/~rsinha

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