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.


Reference manual

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1.0 by Raji Balasubramanian, 9 years ago

Browse source code at https://github.com/cran/RPCLR

Authors: Raji Balasubramanian

Documentation:   PDF Manual  

GPL-2 license

Depends on MASS, survival

See at CRAN