Re: [R] Maximum likelihood estimation in R with censored Data

From: Ben Bolker <bolker_at_ufl.edu>
Date: Fri, 13 Jun 2008 17:55:40 +0000 (UTC)

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



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. Received on Fri 13 Jun 2008 - 18:13:46 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Fri 13 Jun 2008 - 19:30:39 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive