> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of tj
> Sent: Saturday, March 20, 2010 10:35 AM
> To: r-help@r-project.org
> Subject: Re: [R] EM algorithm in R
>
>
> here is my program... Im try
here is my program... Im trying to fit 1 component to 6 components in each of
the 300 generated samples. Each sample has size=200. For each of the 300
generated samples and for each modeled component (v=1,2,3,4,5,6), I will get
estimates of the parameters that will maximize the likelihood, AND the
tj wrote:
>
> Thanks David. I already tried two different programs for this. The first
> one has errors.
> I'm working right now on my alternative program ( i hope it will work),
> BUT I still prefer to use the first program I made because it is more
> detailed. So, I'm trying how to correct the
Thanks David. I already tried two different programs for this. The first one
has errors.
I'm working right now on my alternative program ( i hope it will work), BUT
I still prefer to use the first program I made because it is more detailed.
So, I'm trying how to correct the errors in the first R p
On Mar 20, 2010, at 3:53 AM, tj wrote:
Please help me in writing the R code for this problem. I've been
solving this
for 4 days. It was hard for me to solve it. It's a simulation
problem in R.
The problem is
My true model is a normal mixture which is given as
0.5 N(-0.8,1) + 0.5 N(0.8,
The EM algorithm is not an algorithm for solving problems, rather an
algorithm for creating statistical methods. So you need to look for a
package to solve the specific problem you want to solve.
In some engineering literature the term is used for its application to
finite mixtures of distribu
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