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dosearch  

Causal Effect Identification from Multiple Incomplete Data Sources
View on CRAN: Click here


Download and install dosearch package within the R console
Install from CRAN:
install.packages("dosearch")

Install from Github:
library("remotes")
install_github("cran/dosearch")

Install by package version:
library("remotes")
install_version("dosearch", "1.0.12")



Attach the package and use:
library("dosearch")
Maintained by
Santtu Tikka
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-01
Latest Update: 2024-07-16
Description:
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 et al. (2021) . Allows for the presence of mechanisms related to selection bias (Bareinboim, E. and Tian, J. (2015) ), transportability (Bareinboim, E. and Pearl, J. (2014) ), missing data (Mohan, K. and Pearl, J. and Tian., J. (2013) ) 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) .
How to cite:
Santtu Tikka (2019). dosearch: Causal Effect Identification from Multiple Incomplete Data Sources. R package version 1.0.12, https://cran.r-project.org/web/packages/dosearch. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:33), 1.0.1 (2019-02-08 14:53), 1.0.2 (2019-02-28 09:30), 1.0.3 (2019-10-18 23:20), 1.0.4 (2019-10-22 13:20), 1.0.6 (2020-10-26 10:10), 1.0.7 (2021-08-12 10:40), 1.0.8 (2021-08-19 18:40), 1.0.10 (2024-07-09 23:40), 1.0.11 (2024-07-16 11:50), 1.0 (2019-02-01 17:53)
Other packages that cited dosearch R package
View dosearch citation profile
Other R packages that dosearch depends, imports, suggests or enhances
Complete documentation for dosearch
Functions, R codes and Examples using the dosearch R package
Some associated functions: bivariate_missingness . dosearch-package . dosearch . get_benchmark . get_derivation . get_formula . is_identifiable . 
Some associated R codes: RcppExports.R . dosearch.R . internal.R .  Full dosearch package functions and examples
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