{"id":27152540,"url":"https://github.com/santikka/causaleffect","last_synced_at":"2025-04-08T15:39:12.932Z","repository":{"id":45466300,"uuid":"316441484","full_name":"santikka/causaleffect","owner":"santikka","description":"causaleffect: R package for identifying causal effects.","archived":false,"fork":false,"pushed_at":"2022-10-28T06:20:16.000Z","size":358,"stargazers_count":27,"open_issues_count":0,"forks_count":4,"subscribers_count":1,"default_branch":"master","last_synced_at":"2023-11-20T10:44:40.067Z","etag":null,"topics":["causal-inference","causal-models","causality-algorithms","directed-acyclic-graph","graphs","identifiability","identification","igraph","r"],"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/santikka.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}},"created_at":"2020-11-27T08:21:20.000Z","updated_at":"2023-11-16T02:56:45.000Z","dependencies_parsed_at":"2022-07-14T15:00:30.336Z","dependency_job_id":null,"html_url":"https://github.com/santikka/causaleffect","commit_stats":null,"previous_names":[],"tags_count":3,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/santikka%2Fcausaleffect","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/santikka%2Fcausaleffect/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/santikka%2Fcausaleffect/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/santikka%2Fcausaleffect/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/santikka","download_url":"https://codeload.github.com/santikka/causaleffect/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247873175,"owners_count":21010404,"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":["causal-inference","causal-models","causality-algorithms","directed-acyclic-graph","graphs","identifiability","identification","igraph","r"],"created_at":"2025-04-08T15:39:12.178Z","updated_at":"2025-04-08T15:39:12.925Z","avatar_url":"https://github.com/santikka.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# causaleffect: an R package for causal effect effect identification\n\nFunctions for identification and transportation of causal effects. \nProvides a conditional causal effect identification algorithm (IDC) by Shpitser, I. and Pearl, J. (2006) \u003chttp://ftp.cs.ucla.edu/pub/stat_ser/r329-uai.pdf\u003e, \nan algorithm for transportability from multiple domains with limited experiments by Bareinboim, E. and Pearl, J. (2014) \u003chttp://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf\u003e \nand a selection bias recovery algorithm by Bareinboim, E. and Tian, J. (2015) \u003chttp://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf\u003e. \nAll of the previously mentioned algorithms are based on a causal effect identification algorithm by Tian , J. (2002) \u003chttp://ftp.cs.ucla.edu/pub/stat_ser/r309.pdf\u003e.\n\nFor details, see the [package vignettes at CRAN](https://cran.r-project.org/package=causaleffect) and the paper [Identifying Causal Effects with the R Package\ncausaleffect](https://www.jstatsoft.org/article/view/v076i12)\n\n## Installation\nYou can install the latest release version from CRAN:\n```R\ninstall.packages(\"causaleffect\")\n```\n\nAlternatively, you can install the latest development version by using the devtools package:\n```R\ninstall.packages(\"devtools\")\ndevtools::install_github(\"santikka/causaleffect\")\n```\n\n## Recent changes (for all changes, see NEWS file).\n\n### Changes from version 1.3.14 to 1.3.15\n * Replaced deprecated igraph edge indexing to avoid future warnings.\n\n### Changes from version 1.3.13 to 1.3.14\n * Fixed a rare issue when using pruning.\n\n### Changes from version 1.3.12 to 1.3.13\n * Fixed an incorrect graph definition in the IDC algorithm.\n\n### Changes from version 1.3.11 to 1.3.12\n * The package no longer depends on the 'ggm' package.\n * The package no longer requires the 'XML' package, now suggests instead.\n\n### Changes from version 1.3.10 to 1.3.11\n * Fixed inconsistency with function arguments when computing causal effects with surrogate experiments using 'aux.effect'.\n * Fixed a rare issue with simplification.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsantikka%2Fcausaleffect","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsantikka%2Fcausaleffect","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsantikka%2Fcausaleffect/lists"}