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Libra

Linearized Bregman Algorithms for Generalized Linear Models

Installation

About

Efficient procedures for fitting the regularization path for linear, binomial, multinomial, Ising and Potts models with lasso, group lasso or column lasso(only for multinomial) penalty. The package uses Linearized Bregman Algorithm to solve the regularization path through iterations. Bregman Inverse Scale Space Differential Inclusion solver is also provided for linear model with lasso penalty.

arxiv.org/abs/1406.7728
System requirements GNU Scientific Library (GSL)

Key Metrics

Version 1.7
R ≥ 3.0
Published 2022-04-11 751 days ago
Needs compilation? yes
License GPL-2
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Maintainer

Maintainer

Jiechao Xiong

xiongjiechao@pku.edu.cn

Authors

Feng Ruan
Jiechao Xiong
Yuan Yao

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Libra archive

Depends

R ≥ 3.0
nnls

Suggests

lars
MASS
igraph