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>.
|Imports:||ggm, igraph, XML|
|Maintainer:||Santtu Tikka <santtuth at gmail.com>|
|Citation:||causaleffect citation info|
|CRAN checks:||causaleffect results|
Identifying Causal Effects with the R Package causaleffect
Simplifying Probabilistic Expressions in Causal Inference
|Windows binaries:||r-devel: causaleffect_1.3.3.zip, r-release: causaleffect_1.3.3.zip, r-oldrel: causaleffect_1.3.3.zip|
|OS X El Capitan binaries:||r-release: causaleffect_1.3.3.tgz|
|OS X Mavericks binaries:||r-oldrel: causaleffect_1.3.3.tgz|
|Old sources:||causaleffect archive|
Please use the canonical form https://CRAN.R-project.org/package=causaleffect to link to this page.