[R] Minitab Parametric Distribution Analysis in R
Tom La Bone
labone at gforcecable.com
Fri Jul 27 03:13:32 CEST 2007
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.
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
Both packages should be part of your R distribution.
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
> Thanks for any advice you can offer.
> Tom La Bone
> [[alternative HTML version deleted]]
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
Thomas Lumley Assoc. Professor, Biostatistics
tlumley at u.washington.edu University of Washington, Seattle
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