vennLasso: Variable Selection for Heterogeneous Populations

Provides variable selection and estimation routines for models with main effects stratified on multiple binary factors. The 'vennLasso' package is an implementation of the method introduced in Huling, et al. (2017) <doi:10.1111/biom.12769>.

Version: 0.1.6
Depends: R (≥ 3.2.0)
Imports: Rcpp (≥ 0.11.0), foreach, survival, MASS, Matrix, VennDiagram, visNetwork, igraph, methods
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: knitr, rmarkdown
Published: 2020-06-03
Author: Jared Huling ORCID iD [aut, cre], Muxuan Liang [ctb], Yixuan Qiu [cph], Gael Guennebaud [cph], Ray Gardner [cph], Jitse Niesen [cph]
Maintainer: Jared Huling <jaredhuling at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: vennLasso citation info
Materials: README
CRAN checks: vennLasso results


Reference manual: vennLasso.pdf
Vignettes: Using the vennLasso Package


Package source: vennLasso_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): vennLasso_0.1.6.tgz, r-oldrel (arm64): vennLasso_0.1.6.tgz, r-release (x86_64): vennLasso_0.1.6.tgz, r-oldrel (x86_64): vennLasso_0.1.6.tgz
Old sources: vennLasso archive


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