R help - Nov 2003 - mle in the gamma model

Dear [R]-list,

I'm looking for a classic equivalent of the wle.gamma function (library 
wle) that estimate robustly the shape and the scale parameters of gamma 
data.
I have a vector of iid gamma rv :
 >data=rgamma(100,shape=10,scale=3)
and a vector of their weights:
 >weights=c(rep(.5/70,70),rep(.25/20,20),rep(.25/10,10))
and want to estimate the scale and shape of the gamma distribution.
Does such a function exists?

thanks,
DLC

library(MASS)
?fitdistr

You can also use survreg (survival) and glm (with some help from functions 
in MASS for the shape).

On Mon, 24 Nov 2003, Dominique Couturier wrote:
> I'm looking for a classic equivalent of the wle.gamma function (library
> wle) that estimate robustly the shape and the scale parameters of gamma 
> data.
> I have a vector of iid gamma rv :
>  >data=rgamma(100,shape=10,scale=3)
> and a vector of their weights:
>  >weights=c(rep(.5/70,70),rep(.25/20,20),rep(.25/10,10))
> and want to estimate the scale and shape of the gamma distribution.
> Does such a function exists?
-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595