Package: gamlr
Title: Gamma Lasso Regression
Version: 1.13-9
Authors@R: person(given = "Matt",
                  family = "Taddy",
                  role = c("aut", "cre"),
                  email = "mataddy@gmail.com")
Depends: R (>= 2.15), Matrix, methods, graphics, stats
Suggests: parallel
Description: The gamma lasso algorithm provides regularization paths
        corresponding to a range of non-convex cost functions between
        L0 and L1 norms.  As much as possible, usage for this package
        is analogous to that for the glmnet package (which does the
        same thing for penalization between L1 and L2 norms).  For
        details see: Taddy (2017 JCGS), 'One-Step Estimator Paths for
        Concave Regularization', <doi:10.48550/arXiv.1308.5623>.
License: GPL-3
URL: https://github.com/TaddyLab/gamlr
BugReports: https://github.com/TaddyLab/gamlr/issues
Repository: https://taddylab.r-universe.dev
Date/Publication: 2026-02-24 18:13:40 UTC
RemoteUrl: https://github.com/taddylab/gamlr
RemoteRef: HEAD
RemoteSha: b8cf4d07ee3d10016ba2b5d2e2f23a018b9e73a0
NeedsCompilation: yes
Packaged: 2026-06-24 10:41:53 UTC; root
Author: Matt Taddy [aut, cre]
Maintainer: Matt Taddy <mataddy@gmail.com>