dosearch: Causal Effect Identification from Multiple Incomplete DataSources
Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm by Tikka, Hyttinen and Karvanen (2021) <doi:10.18637/jss.v099.i05>. Allows for the presence of mechanisms related to selection bias (Bareinboim and Tian, 2015) <doi:10.1609/aaai.v29i1.9679>, transportability (Bareinboim and Pearl, 2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, missing data (Mohan, Pearl, and Tian, 2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports identification in the presence of context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs see (Corander et al., 2019) <doi:10.1016/j.apal.2019.04.004>.
| Version: | 1.0.12 |
| Depends: | R (≥ 4.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | covr,dagitty,DiagrammeR,DOT,igraph,knitr,mockr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-09-26 |
| DOI: | 10.32614/CRAN.package.dosearch |
| Author: | Santtu Tikka [aut, cre], Antti Hyttinen [ctb], Juha Karvanen [ctb] |
| Maintainer: | Santtu Tikka <santtuth at gmail.com> |
| BugReports: | https://github.com/santikka/dosearch/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/santikka/dosearch |
| NeedsCompilation: | yes |
| Citation: | dosearch citation info |
| Materials: | NEWS |
| In views: | CausalInference,MissingData |
| CRAN checks: | dosearch results |
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