Package: cmenet
Type: Package
Title: Bi-Level Selection of Conditional Main Effects
Version: 0.1.2
Author: Simon Mak
Maintainer: Simon Mak <sm769@duke.edu>
Description: 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.
License: GPL (>= 2)
LazyData: FALSE
Imports: Rcpp (>= 0.12.4), MASS, glmnet, hierNet, sparsenet
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2022-05-27 01:00:52 UTC; simon
Repository: CRAN
Date/Publication: 2022-05-27 07:10:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 16:34:02 UTC; windows
Archs: i386, x64
