dear Silvia, quoting Venables WN and Ripley DB (1994) Modern Applied Statistics with S-plus, sringer, pag 185:
"Since explicit expressions for the maximum likelihood estimators are not usually available estimates MUST be calculate iteratively" means that glm.fit performs MLE indirectly and efficiently. Hope it's help regards PF 2008/7/23 silvia narduzzi <[EMAIL PROTECTED]>: > 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? > > Thanks > > > > Silvia Narduzzi > Dipartimento di Epidemiologia > ASL RM E > Via di S. Costanza, 53 > 00198 Roma > Tel +39 06 83060461 > Mail [EMAIL PROTECTED] > > ______________________________________________ > 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. > ______________________________________________ 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.
