Package: L0Learn Type: Package Title: Fast Algorithms for Best Subset Selection Version: 2.1.0 Date: 2023-03-04 Authors@R: c( person("Hussein", "Hazimeh", email = "husseinhaz@gmail.com", role = c("aut", "cre")), person("Rahul", "Mazumder", email = "rahulmaz@mit.edu", role = "aut"), person("Tim", "Nonet", email = "tim.nonet@gmail.com", role = "aut")) Description: 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) . URL: https://github.com/hazimehh/L0Learn https://pubsonline.informs.org/doi/10.1287/opre.2019.1919 BugReports: https://github.com/hazimehh/L0Learn/issues License: MIT + file LICENSE Depends: R (>= 3.3.0) Imports: Rcpp (>= 0.12.13), Matrix, methods, ggplot2, reshape2, MASS LinkingTo: Rcpp, RcppArmadillo RoxygenNote: 7.2.3 Encoding: UTF-8 Suggests: knitr, rmarkdown, testthat, pracma, raster, covr VignetteBuilder: knitr NeedsCompilation: yes Packaged: 2026-10-28 10:40:23 UTC; root Author: Hussein Hazimeh [aut, cre], Rahul Mazumder [aut], Tim Nonet [aut] Maintainer: Hussein Hazimeh Repository: https://cran.r-universe.dev Date/Publication: 2023-03-07 07:00:18 UTC RemoteUrl: https://github.com/cran/L0Learn RemoteRef: HEAD RemoteSha: 3912974251d8192bded47a655e08b9bcd8bac95b