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: 0.1.1
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: 2017-11-16
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
Materials: README
CRAN checks: vennLasso results

Downloads:

Reference manual: vennLasso.pdf
Vignettes: Using the vennLasso Package
Package source: vennLasso_0.1.1.tar.gz
Windows binaries: r-devel: vennLasso_0.1.1.zip, r-release: vennLasso_0.1.1.zip, r-oldrel: vennLasso_0.1.1.zip
OS X El Capitan binaries: r-release: vennLasso_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: vennLasso_0.1.1.tgz
Old sources: vennLasso archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=vennLasso to link to this page.