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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 duke.edu>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
CRAN checks:cmenet results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:cmenet.html ,cmenet.pdf

Downloads:

Package source: cmenet_0.1.2.tar.gz
Windows binaries: r-devel:cmenet_0.1.2.zip, r-release:cmenet_0.1.2.zip, r-oldrel:cmenet_0.1.2.zip
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cmenetto link to this page.


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