causaleffect: Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models

Functions for identification and transportation of causal effects. Provides a conditional causal effect identification algorithm (IDC) by Shpitser, I. and Pearl, J. (2006) <>, an algorithm for transportability from multiple domains with limited experiments by Bareinboim, E. and Pearl, J. (2014) <>, and a selection bias recovery algorithm by Bareinboim, E. and Tian, J. (2015) <>. All of the previously mentioned algorithms are based on a causal effect identification algorithm by Tian , J. (2002) <>.

Version: 1.3.15
Imports: igraph
Suggests: R.rsp, XML
Published: 2022-07-14
DOI: 10.32614/CRAN.package.causaleffect
Author: Santtu Tikka ORCID iD [aut, cre]
Maintainer: Santtu Tikka <santtuth at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: causaleffect citation info
Materials: NEWS
In views: CausalInference
CRAN checks: causaleffect results


Reference manual: causaleffect.pdf
Vignettes: Identifying Causal Effects with the R package causaleffect
Simplifying Probabilistic Expressions in Causal Inference


Package source: causaleffect_1.3.15.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): causaleffect_1.3.15.tgz, r-oldrel (arm64): causaleffect_1.3.15.tgz, r-release (x86_64): causaleffect_1.3.15.tgz, r-oldrel (x86_64): causaleffect_1.3.15.tgz
Old sources: causaleffect archive

Reverse dependencies:

Reverse imports: R6causal


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