R help - Oct 2004 - Maximum Likelihood :- Log likehoood function

Dear R - users/Helpers

 I am dealing with bivariate Normal data with missing values. Further I am
trying to implement Expectation-Maximization (EM) algorithm to  resolve the
missing data problem.
 Now one of the requirements is use the Log likehood function i.e -2Log so as to
find a reliable convergence....

       My question is there any R  built function for the same or do i have to
use the packages contributed by other R Developers.

Regards
Kunal

On 13-Oct-04 Kunal Shetty wrote:
> Dear R - users/Helpers
> 
>  I am dealing with bivariate Normal data with missing values. Further I
> am trying to implement Expectation-Maximization (EM) algorithm to 
> resolve the missing data problem.
>  Now one of the requirements is use the Log likehood function i.e -2Log
> so as to find a reliable convergence....
> 
>        My question is there any R  built function for the same or do i
> have to use the packages contributed by other R Developers.
Dear Kunal,
It looks as though you should be able to do what you want with the
library 'norm', available on CRAN as an extra package.

Hoping this helps,
Best wishes,
Ted.


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Date: 13-Oct-04                                       Time: 16:44:49
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