Type: Package
Package: sparsegl
Title: Sparse Group Lasso
Version: 0.5.0
Authors@R: c(
    person("Daniel J.", "McDonald", , "daniel@stat.ubc.ca", role = c("aut", "cre")),
    person("Xiaoxuan", "Liang", , "xiaoxuan.liang@stat.ubc.ca", role = "aut"),
    person("Aaron", "Cohen", , "cohenaa@indiana.edu", role = "aut")
  )
Description: Efficient implementation of sparse group lasso with optional
    bound constraints on the coefficients. It supports the use of a sparse
    design matrix as well as returning coefficient estimates in a sparse
    matrix. Furthermore, it correctly calculates the degrees of freedom to
    allow for information criteria rather than cross-validation with very
    large data. Finally, the interface to compiled code avoids unnecessary
    copies and allows for the use of long integers.
License: GPL (>= 2)
URL: https://github.com/dajmcdon/sparsegl/
BugReports: https://github.com/dajmcdon/sparsegl/issues/
Depends: R (>= 3.5)
Imports: assertthat, dotCall64, ggplot2, magrittr, Matrix, methods,
        rlang, RSpectra, tidyr
Suggests: glmnet, knitr, markdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.2.1
Packaged: 2022-09-21 17:25:19 UTC; dajmcdon
Author: Daniel J. McDonald [aut, cre],
  Xiaoxuan Liang [aut],
  Aaron Cohen [aut]
Maintainer: Daniel J. McDonald <daniel@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2022-09-22 08:30:02 UTC
