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.
NeedsCompilation: yes
Packaged: 2026-10-23 10:51:53 UTC; root
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)
Repository: https://tourzhao-edu.r-universe.dev
Date/Publication: 2026-07-25 21:00:02 UTC
RemoteUrl: https://github.com/cran/picasso
RemoteRef: HEAD
RemoteSha: 0a5c44188e79bd7c8652f825c531c5b632ea44d6