cmenet: Bi-Level Selection of Conditional Main Effects

Provides functions for implementing cmenet - a bi-level variable selection method for conditional main effects (see Mak and Wu (2018) <doi:10.1080/01621459.2018.1448828>). CMEs are reparametrized interaction effects which capture the conditional impact of a factor at a fixed level of another factor. Compared to traditional two-factor interactions, CMEs can quantify more interpretable interaction effects in many problems. The current implementation performs variable selection on only binary CMEs; we are working on an extension for the continuous setting.

Version: 0.1.1
Imports: Rcpp (≥ 0.12.4), MASS, glmnet, hierNet, sparsenet
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-08-28
Author: Simon Mak
Maintainer: Simon Mak <sm769 at duke.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: cmenet results

Downloads:

Reference manual: cmenet.pdf
Package source: cmenet_0.1.1.tar.gz
Windows binaries: r-devel: cmenet_0.1.1.zip, r-release: cmenet_0.1.1.zip, r-oldrel: cmenet_0.1.1.zip
OS X binaries: r-release: cmenet_0.1.1.tgz, r-oldrel: cmenet_0.1.1.tgz
Old sources: cmenet archive

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