[R] Help understanding lrm function of Design library

[Richardson, Patrick]

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-bounces at r-project.org [mailto:r-help-bounces at 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

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