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. (2018) <doi:10.1111/biom.12769>.
| Version: |
0.2.0 |
| 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, testthat (≥ 3.0.0), glmnet |
| Published: |
2026-11-14 |
| DOI: |
10.32614/CRAN.package.vennLasso |
| Author: |
Jared Huling 
[aut, cre],
Muxuan Liang [ctb],
Yixuan Qiu [cph],
Gael Guennebaud [cph],
Ray Gardner [cph],
Jitse Niesen [cph] |
| Maintainer: |
Jared Huling <jaredhuling at gmail.com> |
| BugReports: |
https://github.com/jaredhuling/vennLasso/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/jaredhuling/vennLasso |
| NeedsCompilation: |
yes |
| Citation: |
vennLasso citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
vennLasso results |