{"id":32415872,"url":"https://github.com/mtorrens/cil_article","last_synced_at":"2026-06-18T16:32:02.210Z","repository":{"id":73944945,"uuid":"412126689","full_name":"mtorrens/cil_article","owner":"mtorrens","description":"Replication of CPS data analysis and numerical experiments in the article \"Confounder importance learning for treatment effect inference\"","archived":false,"fork":false,"pushed_at":"2024-07-30T15:48:16.000Z","size":235,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-07-30T19:54:28.003Z","etag":null,"topics":["bayesian-inference","gender-gap","statistics","treatment-effects"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mtorrens.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2021-09-30T15:48:31.000Z","updated_at":"2024-07-30T15:48:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"e7141f9d-a5b7-49d6-a072-d110562c3a3b","html_url":"https://github.com/mtorrens/cil_article","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mtorrens/cil_article","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtorrens%2Fcil_article","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtorrens%2Fcil_article/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtorrens%2Fcil_article/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtorrens%2Fcil_article/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mtorrens","download_url":"https://codeload.github.com/mtorrens/cil_article/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtorrens%2Fcil_article/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34499405,"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":"2026-06-18T02:00:06.871Z","response_time":128,"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":["bayesian-inference","gender-gap","statistics","treatment-effects"],"created_at":"2025-10-25T15:30:38.460Z","updated_at":"2026-06-18T16:32:02.205Z","avatar_url":"https://github.com/mtorrens.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Replication of numerical experiments, analysis and figures in the article\n\nCIL routines to replicate analyses in the article \"Confounder importance learning for treatment effect inference\".\n\n## How to run this project\n\n1. Open (a) script `source/00_start.R` and (b) text file `source/00_code_description.txt`\n2. Edit line `30` of the script by replacing the object `PATH` with the local path in which the project is installed\n3. Make sure every required library and piece of software specified in the text file are installed\n5. Source the `00_start.R` script and follow the instructions in `source/00_code_description.txt` for the rest of scripts.\n\nDetails about what each script does can also be found in the file `00_code_description.txt`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmtorrens%2Fcil_article","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmtorrens%2Fcil_article","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmtorrens%2Fcil_article/lists"}