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: 1.3.13
Imports: igraph
Suggests: R.rsp, XML
Published: 2021-06-14
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
CRAN checks: causaleffect results

Downloads:

Reference manual: causaleffect.pdf
Vignettes: Identifying Causal Effects with the R package causaleffect
Simplifying Probabilistic Expressions in Causal Inference
Package source: causaleffect_1.3.13.tar.gz
Windows binaries: r-devel: causaleffect_1.3.13.zip, r-release: causaleffect_1.3.13.zip, r-oldrel: causaleffect_1.3.13.zip
macOS binaries: r-release (arm64): causaleffect_1.3.13.tgz, r-release (x86_64): causaleffect_1.3.13.tgz, r-oldrel: causaleffect_1.3.13.tgz
Old sources: causaleffect archive

Reverse dependencies:

Reverse imports: R6causal

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