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 quantify more interpretable interaction effects in many problems of interest (e.g., genomics, molecular engineering, personalized medicine). The current implementation performs variable selection on only binary CMEs, but we are working on an extension for the continuous setting. This work was supported by USARO grant W911NF-14-1-0024.

Version: 0.1.0
Imports: Rcpp (≥ 0.12.4), MASS, glmnet, hierNet
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-01-20
Author: Simon Mak
Maintainer: Simon Mak <smak6 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: cmenet results


Reference manual: cmenet.pdf
Package source: cmenet_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: cmenet_0.1.0.tgz, r-oldrel: cmenet_0.1.0.tgz


Please use the canonical form to link to this page.