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: 0.1.2
Imports: Rcpp (≥ 0.12.4), MASS, glmnet, hierNet, sparsenet
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-05-27
DOI: 10.32614/CRAN.package.cmenet
Author: Simon Mak
Maintainer: Simon Mak <sm769 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: cmenet results


Reference manual: cmenet.pdf


Package source: cmenet_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cmenet_0.1.2.tgz, r-oldrel (arm64): cmenet_0.1.2.tgz, r-release (x86_64): cmenet_0.1.2.tgz, r-oldrel (x86_64): cmenet_0.1.2.tgz
Old sources: cmenet archive


Please use the canonical form to link to this page.