I'm surprised not to see the simple answer: "glm" models return the MLE estimate. fit <- glm(y ~ x1 + x2 + .... , family='binomial')
There is no need for special packages, this is a standard part of R. Terry Therneau ---------------- begin included message -------------- On 02/06/2012 03:08 PM, Ana wrote: > I am looking for R packages that can make a Logistic Regression model > with parameter estimation by Maximum Likelihood Estimation. > > > Many thanks for helping out. > > ______________________________________________ > 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. Hi Ana, I worked out some maximum likelihood estimates for logistic regression in R on my website: http://www.netstorm.be/home/lrm Best regards Thomas ______________________________________________ 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.