Dear Ingmar & Dave,
Thanks a lot for your help and sorry for the late reply.
Finally, I've found a way to separate the mixture of distributions
(empirically). But the gamlss package looks great, I'm sure it will help
me during my further studies.
Kind regards,
Susanne
On 15 Jun 2009, at 20:09,
Dear Susanne & Dave,
The gamlss package family has an enormous variety of distributions and
a function to combine
them into mixtures. In particular, the 3 parameter student's t and the
4 parameter generalized t
distribution.
Hth, Ingmar
On 15 Jun 2009, at 17:12, David Hunter wrote:
Hi Sus
Hi Susanne. The mixtools package does not do this automatically and I
would be surprised if there were any package that does. However, it's
not in principle too difficult to write code to implement an EM
algorithm to search for a maximum likelihood estimator in a finite
mixture model. C
Dear all,
I am attempting to model some one-dimensional data using a mixture model
of non-central Student's t distributions. However, I haven't been able
to find any R package that provides this functionality.
Could there be a way to "manipulate" the EM algorithms from the mixdist
or mixtools pac
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