After a bit of coaching I found what I was looking for: the fitdistr() function in the MASS package. It appears to be a bit easier to use than mle() for my application. Thanks all.
Tom -----Original Message----- From: Thomas Lumley [mailto:[EMAIL PROTECTED] Sent: Wednesday, July 25, 2007 12:03 PM To: Tom La Bone Cc: [email protected] Subject: Re: [R] Minitab Parametric Distribution Analysis in R The survival package (survreg() function) will fit quite a few parametric models under censoring. If you aren't doing regression, but just one-sample fitting, you can feed the appropriate censored or truncated likelihood to mle() in the stat4 package. Both packages should be part of your R distribution. -thomas On Wed, 25 Jul 2007, Tom La Bone wrote: > Minitab can perform a "Parametric Distribution Analysis - Arbitrary > Censoring" with one of eight distributions (e.g., weibull), giving the > maximum likelihood estimates of the parameters in the distribution for a > given dataset. Does R have a package that provides equivalent functionality? > Thanks for any advice you can offer. > > > > Tom La Bone > > > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] 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 [EMAIL PROTECTED] University of Washington, Seattle ______________________________________________ [email protected] 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.
