Package: picasso
Type: Package
Title: Sparse Learning with Convex and Concave Penalties
Version: 2.0.1
Date: 2026-07-25
Maintainer: Tuo Zhao <tourzhao@gatech.edu>
Authors@R: c(
 person("Jason", "Ge", role = "aut", email = "jiange@princeton.edu"),
 person("Xingguo", "Li", role = "aut"),
 person("Haoming", "Jiang", role = "aut"),
 person("Mengdi", "Wang", role = "aut"),
 person("Tong", "Zhang", role = "aut"),
 person("Han", "Liu", role = "aut"),
 person("Tuo", "Zhao", role = c("aut", "cre"), email = "tourzhao@gatech.edu"),
 person("Gael", "Guennebaud", role = "ctb",
        comment = "Contributor to bundled Eigen headers"),
 person("Benoit", "Jacob", role = "ctb",
        comment = "Contributor to bundled Eigen headers"),
 person("Eigen", "Library Authors", role = "cph",
        comment = "Copyright holders of bundled Eigen headers in src/include/eigen3")
 )
Depends: R (>= 3.1.0), Matrix
Imports: methods
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Description: Fast regularization paths for sparse Gaussian, binomial, Poisson,
    square-root-lasso, and multinomial models with lasso, smoothly clipped
    absolute deviation, or minimax concave penalties. Computation uses
    pathwise coordinate optimization, active-set updates, warm starts,
    screening rules, Proximal Newton iterations, quadratic majorization, and
    adaptive local linear approximation where appropriate. Core solvers are
    implemented in C++, and coefficient paths are returned as
    Matrix-compatible objects.
License: GPL-3
Encoding: UTF-8
Copyright: See inst/COPYRIGHTS for bundled third-party copyright and
        license notices.
Repository: CRAN
NeedsCompilation: yes
Packaged: 2026-07-25 19:12:41 UTC; tourzhao
Author: Jason Ge [aut],
  Xingguo Li [aut],
  Haoming Jiang [aut],
  Mengdi Wang [aut],
  Tong Zhang [aut],
  Han Liu [aut],
  Tuo Zhao [aut, cre],
  Gael Guennebaud [ctb] (Contributor to bundled Eigen headers),
  Benoit Jacob [ctb] (Contributor to bundled Eigen headers),
  Eigen Library Authors [cph] (Copyright holders of bundled Eigen headers
    in src/include/eigen3)
Date/Publication: 2026-07-25 21:00:02 UTC
