Package: sparsegl
Type: Package
Title: Sparse Group Lasso
Version: 0.3.0
Authors@R: 
    c(person(given = "Daniel J.",
           family = "McDonald",
           role = c("aut", "cre"),
           email = "daniel@stat.ubc.ca"),
      person(given = "Xiaoxuan",
            family = "Liang", 
            role = "aut",
            email = "xiaoxuan.liang@stat.ubc.ca"),
      person(given = "Aaron",
            family = "Cohen", 
            role = "aut",
            email = "cohenaa@indiana.edu"))
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.
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Imports: Matrix, RSpectra, assertthat, methods, tidyr, ggplot2,
        magrittr, rlang, dotCall64
Depends: R (>= 3.5)
License: GPL (>= 2)
URL: https://github.com/dajmcdon/sparsegl/
BugReports: https://github.com/dajmcdon/sparsegl/issues/
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, markdown, glmnet
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-03-03 03:13:06 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: 2022-03-07 20:30:05 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 13:02:13 UTC; windows
Archs: i386, x64
