Package: Libra 1.7

Jiechao Xiong

Libra: Linearized Bregman Algorithms for Generalized Linear Models

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.

Authors:Feng Ruan, Jiechao Xiong and Yuan Yao

Libra_1.7.tar.gz
Libra_1.7.tar.gz(r-4.7-arm64)Libra_1.7.tar.gz(r-4.7-x86_64)Libra_1.7.tar.gz(r-4.6-arm64)Libra_1.7.tar.gz(r-4.6-x86_64)
Libra_1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Libra/json (API)

# Install 'Libra' in R:
install.packages('Libra', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • gsl– GNU Scientific Library (GSL)
Datasets:
  • diabetes - Blood and other measurements in diabetics
  • isingdata - Simulation data for Ising model
  • west10 - Journey to the West, one of the Four Great Classical Novels of Chinese Literature by WU, Cheng'en.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

gsl

2.05 score 112 scripts 446 downloads 9 exports 1 dependencies

Last updated from:f9fb8a4335. Checks:4 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE133
linux-devel-x86_64NOTE140
source / vignettesOK175
linux-release-arm64NOTE131
linux-release-x86_64NOTE162
wasm-releaseOK115

Exports:cv.isscv.lbggmisingisslbplot.lbpottspredict.lb

Dependencies:nnls