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: | 1.3.10 |
Imports: | ggm, igraph, XML |
Suggests: | R.rsp |
Published: | 2019-09-26 |
Author: | Santtu Tikka |
Maintainer: | Santtu Tikka <santtuth at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | no |
Citation: | causaleffect citation info |
Materials: | NEWS |
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_1.3.10.tar.gz |
Windows binaries: | r-devel: causaleffect_1.3.10.zip, r-release: causaleffect_1.3.10.zip, r-oldrel: causaleffect_1.3.10.zip |
macOS binaries: | r-release: causaleffect_1.3.10.tgz, r-oldrel: causaleffect_1.3.10.tgz |
Old sources: | causaleffect archive |
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