{"id":19298662,"url":"https://github.com/statsim/select-shiny","last_synced_at":"2026-06-20T05:31:13.026Z","repository":{"id":106490619,"uuid":"214650901","full_name":"statsim/select-shiny","owner":"statsim","description":"All-relevant feature selection with Boruta, Shiny and R","archived":false,"fork":false,"pushed_at":"2020-05-01T08:57:08.000Z","size":49,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-24T01:15:35.270Z","etag":null,"topics":["boruta","eda","feature-selection","r","shiny","shinyapp"],"latest_commit_sha":null,"homepage":"https://statsim.shinyapps.io/select/","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/statsim.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-10-12T13:21:56.000Z","updated_at":"2020-06-20T06:12:32.000Z","dependencies_parsed_at":null,"dependency_job_id":"4eecbc1c-7f0b-4053-a95a-948a44c96eef","html_url":"https://github.com/statsim/select-shiny","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/statsim/select-shiny","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statsim%2Fselect-shiny","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statsim%2Fselect-shiny/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statsim%2Fselect-shiny/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statsim%2Fselect-shiny/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/statsim","download_url":"https://codeload.github.com/statsim/select-shiny/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statsim%2Fselect-shiny/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34558893,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-20T02:00:06.407Z","response_time":98,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["boruta","eda","feature-selection","r","shiny","shinyapp"],"created_at":"2024-11-09T23:08:44.712Z","updated_at":"2026-06-20T05:31:13.010Z","avatar_url":"https://github.com/statsim.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# All-relevant feature selection with Boruta, Shiny and R\nBoruta is one of the most popular methods for all-relevant feature selection. It's great for data exploration because it tries to find all variables that could have some relationship with target. Another popular approach, minimum optimal feature selection, selects only the minimal subset of features. \n* More info about Boruta: [https://www.mimuw.edu.pl/~ajank/papers/Kursa2010.pdf](https://www.mimuw.edu.pl/~ajank/papers/Kursa2010.pdf)\n* Boruta on CRAN: [https://cran.r-project.org/web/packages/Boruta/](https://cran.r-project.org/web/packages/Boruta/)\n* Boruta.py: [https://github.com/scikit-learn-contrib/boruta_py](https://github.com/scikit-learn-contrib/boruta_py)\n* See also MUVR: [https://gitlab.com/CarlBrunius/MUVR](https://gitlab.com/CarlBrunius/MUVR)\n\n![Boruta results](https://raw.githubusercontent.com/statsim/select-shiny/master/images/boruta.png \"Boruta all-relevant feature selection results\")\n\n### Open on shinyapps\n[https://statsim.shinyapps.io/select/](https://statsim.shinyapps.io/select/)\nWe are currently on a free tier. The app can be offline if there's no hours left\n\n### Run select with R from remote repository\n`R -e \"shiny::runGitHub('select-shiny', 'statsim')\"` (needs R and shiny installed)\n\nIf everything is ok, you'll see something like this:\n\n```\nDownloading https://github.com/statsim/select-shiny/archive/master.tar.gz\n...\nListening on http://127.0.0.1:5352\n```\n\nThen just open the link in the browser\n\n### Run locally\nClone the repository with `git clone` then `R -e \"shiny::runApp('select-shiny')\"`\n\n### Alternatives\nWeb version based on JavaScript port of Boruta:\n* [https://statsim.com/select](https://statsim.com/select)\nThere's another shiny app that also uses Boruta under the hood and supports bigger files:\n* [https://shiny.gramener.com/varselect/](https://shiny.gramener.com/varselect/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstatsim%2Fselect-shiny","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstatsim%2Fselect-shiny","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstatsim%2Fselect-shiny/lists"}