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 [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 |
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: vennLasso_0.1.6.zip, r-release: vennLasso_0.1.6.zip, r-oldrel: vennLasso_0.1.6.zip |
macOS binaries: | r-release: vennLasso_0.1.6.tgz, r-oldrel: vennLasso_0.1.6.tgz |
Old sources: | vennLasso archive |
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