Logistic Regression
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 at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
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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