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gamlr (version 1.13-9)

Gamma Lasso Regression

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', .

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Install

install.packages('gamlr')

Monthly Downloads

1,025

Version

1.13-9

License

GPL-3

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Maintainer

Matt Taddy

Last Published

February 25th, 2026

Functions in gamlr (1.13-9)

naref

NA reference level
doubleML

double ML
hockey

NHL hockey data
cv.gamlr

Cross Validation for gamlr
AICc

Corrected AIC
gamlr

Gamma-Lasso regression