silvia narduzzi wrote:
Dear R users,
I use the glm() function to fit a generalized linear model with gamma
distribution function and log link.
I have read in the help page that the default method used by R is "glm.fit" (iteratively reweighted least squares, IWLS).
Is it possible to use maximum likelihood method?
Same thing.... (Well, one is an algorithm, the other a principle, but in
GLMs, successful application of IRLS leads to the maximum likelihood
estimates.)
--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907
______________________________________________
R-help@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.
