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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) <http://ftp.cs.ucla.edu/pub/stat_ser/r329-uai.pdf>, an algorithm for transportability from multiple domains with limited experiments by Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, and a selection bias recovery algorithm by Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>. All of the previously mentioned algorithms are based on a causal effect identification algorithm by Tian , J. (2002) <http://ftp.cs.ucla.edu/pub/stat_ser/r309.pdf>.

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 gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/santikka/causaleffect/
NeedsCompilation: no
Citation: causaleffect citation info
Materials: NEWS
In views: CausalInference
CRAN checks: causaleffect results

Documentation:

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

Downloads:

Package source: causaleffect_1.3.15.tar.gz
Windows binaries: r-devel: causaleffect_1.3.15.zip, r-release: causaleffect_1.3.15.zip, r-oldrel: causaleffect_1.3.15.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=causaleffect to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.