[R] Minitab Parametric Distribution Analysis in R

[Tom La Bone]

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:tlumley at u.washington.edu] 
Sent: Wednesday, July 25, 2007 12:03 PM
To: Tom La Bone
Cc: r-help at stat.math.ethz.ch
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
>
>
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Thomas Lumley			Assoc. Professor, Biostatistics
tlumley at u.washington.edu	University of Washington, Seattle