Package: vennLasso
Type: Package
Title: Variable Selection for Heterogeneous Populations
Version: 0.1.2
Authors@R: c(
    person("Jared", "Huling", , "jaredhuling@gmail.com", c("aut", "cre")),
    person("Muxuan", "Liang", , , c("ctb")),
    person("Yixuan", "Qiu", , , c("cph")),
    person("Gael", "Guennebaud", , , c("cph")),
    person("Ray", "Gardner", , , c("cph")),
    person("Jitse", "Niesen", , , c("cph"))
    )
Description: 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>.
URL: https://github.com/jaredhuling/vennLasso
BugReports: https://github.com/jaredhuling/vennLasso/issues
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.2.0)
Imports: Rcpp (>= 0.11.0), foreach, survival, MASS, Matrix,
        VennDiagram, visNetwork, igraph, methods
LinkingTo: Rcpp, RcppEigen, RcppNumerical
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-03-25 23:20:22 UTC; huling.7
Author: Jared Huling [aut, cre],
  Muxuan Liang [ctb],
  Yixuan Qiu [cph],
  Gael Guennebaud [cph],
  Ray Gardner [cph],
  Jitse Niesen [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-26 03:44:22 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 16:28:13 UTC; windows
Archs: i386, x64
