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
NeedsCompilation: yes
Packaged: 2026-02-24 17:37:44 UTC; mataddy
Author: Matt Taddy [aut, cre]
Maintainer: Matt Taddy <mataddy@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 06:30:35 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 07:36:45 UTC; unix
Archs: gamlr.so.dSYM
