CRAN/E | fasterElasticNet

fasterElasticNet

An Amazing Fast Way to Fit Elastic Net

Installation

About

Fit Elastic Net, Lasso, and Ridge regression and do cross-validation in a fast way. We build the algorithm based on Least Angle Regression by Bradley Efron, Trevor Hastie, Iain Johnstone, etc. (2004)(doi:10.1214/009053604000000067 ) and some algorithms like Givens rotation and Forward/Back Substitution. In this way, many matrices to be computed are retained as triangular matrices which can eventually speed up the computation. The fitting algorithm for Elastic Net is written in C++ using Armadillo linear algebra library.

github.com/CUFESAM/Elastic-Net
Bug report File report

Key Metrics

Version 1.1.2
R ≥ 3.1.0
Published 2018-08-11 1875 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks fasterElasticNet results

Downloads

Last 24 hours 8 -33%
Last 7 days 23 -43%
Last 30 days 127 +7%
Last 90 days 368 -28%
Last 365 days 1.986 -43%

Maintainer

Maintainer

Linyu Zuo

zuozhe5959@gmail.com

Authors

Jingyi Ma

aut

Qiuhong Lai

ctb

Linyu Zuo

ctb / cre

Yi Yang

ctb

Meng Su

ctb

Zhen Yu

ctb

Gege Gao

ctb

Xiao Liu

ctb

Xueni Ruan

ctb

Xinyuan Yang

ctb

Yu Bai

ctb

Zhijun Liao

ctb

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

Depends

R ≥ 3.1.0

Imports

Rcpp ≥ 0.12.16

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo