[R] Help understanding lrm function of Design library

[Noah Silverman]

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