grpreg (2.3-0)
Regularization paths for regression models with grouped covariates.
http://cran.r-project.org/web/packages/grpreg
Efficient algorithms for fitting the regularization path of linear or logistic regression models with grouped penalties, such as group lasso, group MCP, and group SCAD. The algorithms are based on the idea of either locally approximated coordinate descent or group descent, depending on the penalty.
Maintainer:
Patrick Breheny
Author(s): Patrick Breheny
License: GPL-2
Uses: Does not use any package
Released 3 months ago.
10 previous versions
- grpreg_2.2-1. Released 6 months ago.
- grpreg_2.2-0. Released 8 months ago.
- grpreg_2.1-0. Released 10 months ago.
- grpreg_2.0-1. Released 10 months ago.
- grpreg_2.0-0. Released 10 months ago.
- grpreg_1.2-2. Released 10 months ago.
- grpreg_1.2-1. Released almost 2 years ago.
- grpreg_1.2-0. Released almost 2 years ago.
- grpreg_1.1. Released over 3 years ago.
- grpreg_1.0. Released over 4 years ago.
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