RPCLR: RPCLR (Random-Penalized Conditional Logistic Regression)
Version 1.0

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.

Package details

AuthorRaji Balasubramanian
Date of publication2012-08-19 16:38:48
MaintainerRaji Balasubramanian <rbalasub@schoolph.umass.edu>
Package repositoryView on CRAN
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RPCLR documentation built on May 30, 2017, 2:52 a.m.