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 [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:

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