R help - Jun 2008 - Maximum likelihood estimation in R with censored Data

Hello,

 

I'm trying to calculate the Maximum likelihood estimators for a dataset
which contains censored data.

 

I started by using the function "nlm", but isn't there a separate
method
for doing this for e.g. the "weibull" and the "log-normal"
distribution?

 

Thanks,

Olivia

 


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Bluder Olivia <olivia.bluder <at> k-ai.at> writes:
> 
> Hello,
> 
> I'm trying to calculate the Maximum likelihood estimators for a dataset
> which contains censored data.
> 
> I started by using the function "nlm", but isn't there a
separate method
> for doing this for e.g. the "weibull" and the
"log-normal" distribution?
> 
> Thanks,
> 
> Olivia
  This is not *quite* enough detail about what you
want to do.  Can you (as the posting guide suggests!)
give us a small example of what you want to do?  You may be able
to do this via the survreg() command in the survival
package, or you may want to do it yourself by constructing
a log-likelihood function with dweibull() for uncensored
data and pweibull() for censored data [or dlnorm/plnorm].

  Ben Bolker

Try survreg(), in the survival package.

      -thomas

On Fri, 13 Jun 2008, Bluder Olivia wrote:
> Hello,
>
>
>
> I'm trying to calculate the Maximum likelihood estimators for a dataset
> which contains censored data.
>
>
>
> I started by using the function "nlm", but isn't there a
separate method
> for doing this for e.g. the "weibull" and the
"log-normal" distribution?
>
>
>
> Thanks,
>
> Olivia
>
>
>
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
Thomas Lumley			Assoc. Professor, Biostatistics
tlumley at u.washington.edu	University of Washington, Seattle