This is the Debian GNU/Linux r-cran-rms package of rms, a collection
of GNU R functions for regression modeling strategies, written by
Frank Harrell and supporting the book (Springer, 2001) of the same
title.
This package was created by Dirk Eddelbuettel <edd@debian.org>.
The sources were downloaded from
http://cran.r-project.org/web/packages/rms/index.html
and are also available at all CRAN mirrors.
The package was renamed from its upstream name 'rms' to 'r-cran-rms'
to fit the pattern of CRAN and non-CRAN packages for R.
Copyright (C) 2001 Frank Harrell
License: GPL-2
On a Debian GNU/Linux system, the GPL (v2) license is included in the
file /usr/share/common-licenses/GPL-2.
For reference, the upstream DESCRIPTION file is included below:
Package: rms
Version: 3.3-2
Date: 2011-11-09
Title: Regression Modeling Strategies
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Depends: Hmisc (>= 3.7), survival (>= 2.36-3)
Imports: survival
Suggests: lattice, quantreg, nlme, rpart, polspline
Description: Regression modeling, testing, estimation, validation,
graphics, prediction, and typesetting by storing enhanced model design
attributes in the fit. rms is a collection of 229 functions that
assist with and streamline modeling. It also contains functions for
binary and ordinal logistic regression models and the Buckley-James
multiple regression model for right-censored responses, and implements
penalized maximum likelihood estimation for logistic and ordinary
linear models. rms works with almost any regression model, but it
was especially written to work with binary or ordinal logistic
regression, Cox regression, accelerated failure time models,
ordinary linear models, the Buckley-James model, generalized least
squares for serially or spatially correlated observations, generalized
linear models, and quantile regression.
License: GPL (>= 2)
URL: http://biostat.mc.vanderbilt.edu/rms
LazyLoad: yes
Packaged: 2011-11-10 03:58:34 UTC; harrelfe
Repository: CRAN
Date/Publication: 2011-11-10 12:59:11
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