RPCLR: RPCLR (Random-Penalized Conditional Logistic Regression)

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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.

Author
Raji Balasubramanian
Date of publication
2012-08-19 16:38:48
Maintainer
Raji Balasubramanian <rbalasub@schoolph.umass.edu>
License
GPL-2
Version
1.0

View on CRAN

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...

Files in this package

RPCLR
RPCLR/MD5
RPCLR/Read-and-delete-me
RPCLR/R
RPCLR/R/RPCLR-functions.R
RPCLR/NAMESPACE
RPCLR/man
RPCLR/man/RPCLR-package.Rd
RPCLR/man/GetVarImp.Rd
RPCLR/man/GenerateData.Rd
RPCLR/DESCRIPTION