dosearch: Causal Effect Identification from Multiple Incomplete Data Sources

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) <doi:10.18637/jss.v099.i05>. Allows for the presence of mechanisms related to selection bias (Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>), transportability (Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>), missing data (Mohan, K. and Pearl, J. and Tian., J. (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:	1.0.8
Imports:	Rcpp (≥ 0.12.19)
LinkingTo:	Rcpp
Suggests:	dagitty, DOT, igraph
Published:	2021-08-19
Author:	Santtu Tikka [aut, cre], Antti Hyttinen [ctb], Juha Karvanen [ctb]
Maintainer:	Santtu Tikka <santtuth at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
SystemRequirements:	C++11
Citation:	dosearch citation info
Materials:	NEWS
In views:	CausalInference, MissingData
CRAN checks:	dosearch results

Documentation:

Reference manual:

dosearch.pdf

Downloads:

Package source:	dosearch_1.0.8.tar.gz
Windows binaries:	r-devel: dosearch_1.0.8.zip, r-release: dosearch_1.0.8.zip, r-oldrel: dosearch_1.0.8.zip
macOS binaries:	r-release (arm64): dosearch_1.0.8.tgz, r-oldrel (arm64): dosearch_1.0.8.tgz, r-release (x86_64): dosearch_1.0.8.tgz, r-oldrel (x86_64): dosearch_1.0.8.tgz
Old sources:	dosearch archive

Reverse dependencies:

Reverse imports:

R6causal

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