gamlr (1.135)
Gamma Lasso Regression.
http://github.com/TaddyLab/gamlr
http://cran.rproject.org/web/packages/gamlr
The gamma lasso algorithm provides regularization paths corresponding to a range of nonconvex 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), OneStep Estimator Paths for Concave Regularization, .
Maintainer:
Matt Taddy
Author(s): Matt Taddy <mataddy@gmail.com>
License: GPL3
Uses: Matrix
Reverse depends: distrom, textir
Released over 1 year ago.
13 previous versions
 gamlr_1.134. Released almost 2 years ago.
 gamlr_1.133. Released about 4 years ago.
 gamlr_1.132. Released about 4 years ago.
 gamlr_1.131. Released over 4 years ago.
 gamlr_1.13. Released over 4 years ago.
 gamlr_1.121. Released about 5 years ago.
 gamlr_1.12. Released about 5 years ago.
 gamlr_1.113. Released over 5 years ago.
 gamlr_1.112. Released almost 6 years ago.
 gamlr_1.111. Released about 6 years ago.
 gamlr_1.11. Released about 6 years ago.
 gamlr_1.0. Released over 6 years ago.
 gamlr_0.1. Released over 6 years ago.
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