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.

AuthorRaji Balasubramanian
Date of publication2012-08-19 16:38:48
MaintainerRaji Balasubramanian <rbalasub@schoolph.umass.edu>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RPCLR")

Getting started

Package overview

Popular man pages

GenerateData: Simulate a dataset from a 1:1 matched case control study
GetVarImp: To obtain variable importance scores using the R-PCLR...
RPCLR-package: Implements the R-PCLR algorithm to calculate variable...
See all...

All man pages Function index File listing

Man pages

GenerateData: Simulate a dataset from a 1:1 matched case control study
GetVarImp: To obtain variable importance scores using the R-PCLR...
RPCLR-package: Implements the R-PCLR algorithm to calculate variable...

Functions

GenerateData Man page Source code
GetVarImp Man page Source code
RPCLR Man page
RPCLR-package Man page

Files

MD5
Read-and-delete-me
R
R/RPCLR-functions.R
NAMESPACE
man
man/RPCLR-package.Rd
man/GetVarImp.Rd
man/GenerateData.Rd
DESCRIPTION
RPCLR documentation built on May 20, 2017, 12:47 a.m.

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