{"id":15292971,"url":"https://github.com/modal-inria/mlgl","last_synced_at":"2025-06-25T22:03:54.808Z","repository":{"id":42083490,"uuid":"241645312","full_name":"modal-inria/MLGL","owner":"modal-inria","description":"Procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data","archived":false,"fork":false,"pushed_at":"2023-03-15T18:38:00.000Z","size":176,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-09T17:42:47.053Z","etag":null,"topics":["group-lasso","r","variable-selection"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/modal-inria.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2020-02-19T14:40:45.000Z","updated_at":"2023-11-29T12:18:29.000Z","dependencies_parsed_at":"2022-08-12T04:21:52.465Z","dependency_job_id":"d6dfe28f-2c81-4f8f-a92c-2c781bafe3bd","html_url":"https://github.com/modal-inria/MLGL","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/modal-inria/MLGL","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/modal-inria%2FMLGL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/modal-inria%2FMLGL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/modal-inria%2FMLGL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/modal-inria%2FMLGL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/modal-inria","download_url":"https://codeload.github.com/modal-inria/MLGL/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/modal-inria%2FMLGL/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261960494,"owners_count":23236571,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["group-lasso","r","variable-selection"],"created_at":"2024-09-30T16:36:45.736Z","updated_at":"2025-06-25T22:03:54.785Z","avatar_url":"https://github.com/modal-inria.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MLGL\n\n[![R-CMD-check](https://github.com/modal-inria/MLGL/workflows/R-CMD-check/badge.svg)](https://github.com/modal-inria/MLGL/actions)\n\n[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/MLGL)](https://cran.r-project.org/package=MLGL) [![Total Downloads](http://cranlogs.r-pkg.org/badges/grand-total/MLGL?color=blue)](http://cranlogs.r-pkg.org/badges/grand-total/MLGL) [![Downloads](https://cranlogs.r-pkg.org/badges/MLGL)](https://cran.rstudio.com/web/packages/MLGL/index.html)\n\nThe code was originally on an [R-forge repository](https://r-forge.r-project.org/projects/hcgglasso/).\n\n\nThis package implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data.\n\n\n## Installation\n\nFrom github:\n``` r\nlibrary(devtools)\ninstall_github(\"modal-inria/MLGL\")\n```\n\nFrom CRAN:\n``` r\ninstall.packages(\"MLGL\", repos = \"https://cran.rstudio.com\")\n```\n\n### Dependencies\n\n``` r\ninstall.packages(c(\"gglasso\", \"MASS\", \"Matrix\", \"fastcluster\", \"FactoMineR\", \"parallelDist\"), repos = \"https://cran.rstudio.com\")\n```   \n\n## Credits\n\n**MLGL** is developed by Quentin Grimonprez, Guillemette Marot, Alain Celisse and Samuel Blanck.\n\nCopyright Inria - Université de Lille\n\n## Licence\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU Affero General Public License as\npublished by the Free Software Foundation, either version 3 of the\nLicense, or (at your option) any later version.\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n[GNU Affero General Public License](https://www.gnu.org/licenses/agpl-3.0.en.html) for more details.\n\n\n## References\n\n*  Q. Grimonprez, S. Blanck, A. Celisse, G. Marot, MLGL: An R package implementing correlated variable selection by hierarchical clustering and group-Lasso. https://hal.inria.fr/hal-01857242\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmodal-inria%2Fmlgl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmodal-inria%2Fmlgl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmodal-inria%2Fmlgl/lists"}