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-4.5-noble)Libra_1.7.tar.gz(r-4.4-noble)
Libra_1.7.tgz(r-4.4-emscripten)Libra_1.7.tgz(r-4.3-emscripten)
Libra.pdf |Libra.html✨
Libra/json (API)

# Install 'Libra' in R:
install.packages('Libra', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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.

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

gsl

1.86 score 73 scripts 277 downloads 9 exports 1 dependencies

Last updated 3 years agofrom:f9fb8a4335. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 24 2024
R-4.5-linux-x86_64NOTEDec 24 2024

Exports:cv.isscv.lbggmisingisslbplot.lbpottspredict.lb

Dependencies:nnls