CRAN/E | gamlr

gamlr

Gamma Lasso Regression

Installation

About

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', .

Citation gamlr citation info
github.com/TaddyLab/gamlr

Key Metrics

Version 1.13-8
R ≥ 2.15
Published 2023-04-16 376 days ago
Needs compilation? yes
License GPL-3
CRAN checks gamlr results

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Maintainer

Maintainer

Matt Taddy

mataddy@gmail.com

Authors

Matt Taddy

Material

Reference manual
Package source

macOS

r-devel

arm64

r-release

arm64

r-oldrel

arm64

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gamlr archive

Depends

R ≥ 2.15
Matrix
methods
graphics
stats

Suggests

parallel

Reverse Depends

distrom
textir

Reverse Imports

bolasso