I found Professor Harrell's book answered most of my questions as it contains discussion of both Hmisc and Design libraries . http://www.amazon.com/Regression-Modeling-Strategies-Frank-Harrell/dp/0387952322/ref=sr_1_2?ie=UTF8&qid=1250596657&sr=8-2
Patrick -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Noah Silverman Sent: Monday, August 17, 2009 5:21 PM To: r help Subject: [R] Help understanding lrm function of Design library Hi, I'm developing an experiment with logistic regression. I've come across the lrm function in the Design library. While I understand and can use the basic functionality, there are a ton of options that go beyond my knowledge. I've carefully read the help page for lrm, but don't understand many of the arguments and optional return values. (penalty, penalty.matrix, strata.penalty, var.penalty, weights) Additionally, there are several items returned in the model that I don't understand. (Max Derriv, Model L.R, C, Dxy, Gamma, Tau-a, R2, Briar, Wald Z) 1) Could someone point me to an online resource where I could learn more? (I'm big on trying to teach myself.) 2) Or, alternately, does anybody want to explain a few things for me? Thanks! -- Noah ______________________________________________ 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. This email message, including any attachments, is for th...{{dropped:6}} ______________________________________________ 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.
