RPCLR: RPCLR (Random-Penalized Conditional Logistic Regression)

This package implements the R-PCLR (Random-Penalized Conditional Logistic Regression) algorithm for obtaining variable importance. The algorithm is applicable for the analysis of high dimensional data from matched case-control studies.

Version: 1.0
Depends: MASS, survival
Published: 2012-08-19
Author: Raji Balasubramanian
Maintainer: Raji Balasubramanian <rbalasub at schoolph.umass.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: RPCLR results

Downloads:

Reference manual: RPCLR.pdf
Package source: RPCLR_1.0.tar.gz
Windows binaries: r-devel: RPCLR_1.0.zip, r-release: RPCLR_1.0.zip, r-oldrel: RPCLR_1.0.zip
OS X Snow Leopard binaries: r-release: RPCLR_1.0.tgz, r-oldrel: RPCLR_1.0.tgz
OS X Mavericks binaries: r-release: RPCLR_1.0.tgz