glm is not, and never was. part of the MASS package. It's in the stats package.
Have you sorted out why there is a "big difference" between the results you get using glm and lrm? Are you confident it is due to the algorithms used and not your ability to use the software? To be helpful, if disappointing, I think the answer to your question is "no". You will need to seek out the algorithms from the published information on them individually. W. ________________________________________ From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of tdm [ph...@philbrierley.com] Sent: 31 October 2009 16:53 To: r-help@r-project.org Subject: [R] Logistic and Linear Regression Libraries Hi all, I'm trying to discover the options available to me for logistic and linear regression. I'm doing some tests on a dataset and want to see how different flavours of the algorithms cope. So far for logistic regression I've tried glm(MASS) and lrm (Design) and found there is a big difference. Is there a list anywhere detailing the options available which details the specific algorithms used? Thanks in advance, Phil -- View this message in context: http://old.nabble.com/Logistic-and-Linear-Regression-Libraries-tp26140248p26140248.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
