This package is considered a duplicate. The official version of this package is found at:https://hazimehh.r-universe.dev/L0Learn

Package: L0Learn 2.1.0

Hussein Hazimeh

L0Learn: Fast Algorithms for Best Subset Selection

Highly optimized toolkit for approximately solving L0-regularized learning problems (a.k.a. best subset selection). The algorithms are based on coordinate descent and local combinatorial search. For more details, check the paper by Hazimeh and Mazumder (2020) <doi:10.1287/opre.2019.1919>.

Authors:Hussein Hazimeh [aut, cre], Rahul Mazumder [aut], Tim Nonet [aut]

L0Learn_2.1.0.tar.gz
L0Learn_2.1.0.tar.gz(r-4.7-arm64)L0Learn_2.1.0.tar.gz(r-4.7-x86_64)L0Learn_2.1.0.tar.gz(r-4.6-arm64)L0Learn_2.1.0.tar.gz(r-4.6-x86_64)
L0Learn_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
L0Learn/json (API)

# Install 'L0Learn' in R:

install.packages('L0Learn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hazimehh/l0learn/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

3.90 score 2 packages 110 scripts 1.2k downloads 1 mentions 3 exports 27 dependencies

Last updated from:3912974251. Checks:4 NOTE, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	NOTE	263
linux-devel-x86_64	NOTE	243
source / vignettes	OK	345
linux-release-arm64	NOTE	227
linux-release-x86_64	NOTE	236
wasm-release	OK	178

Exports:GenSynthetic L0Learn.cvfit L0Learn.fit

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix plyr R6 RColorBrewer Rcpp RcppArmadillo reshape2 rlang S7 scales stringi stringr vctrs viridisLite withr

L0Learn Vignette

Hussein Hazimeh, Rahul Mazumder, and Tim Nonet, Massachusetts Institute of Technology (MIT)

Rendered fromL0Learn-vignette.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2023-03-07
Started: 2018-07-01

Citation

Readme and manuals

Help Manual

Help page	Topics
A package for L0-regularized learning	L0Learn-package
Extract Solutions	coef.L0Learn coef.L0LearnCV
Generate Synthetic Data	GenSynthetic
Generate Exponential Correlated Synthetic Data	GenSyntheticHighCorr
Generate Logistic Synthetic Data	GenSyntheticLogistic
Cross Validation	L0Learn.cvfit
Fit an L0-regularized model	L0Learn.fit
Plot Regularization Path	plot.L0Learn
Plot Cross-validation Errors	plot.L0LearnCV
Predict Response	predict.L0Learn predict.L0LearnCV
Print L0Learn.fit object	print.L0Learn print.L0LearnCV