Functions for identification and transportation of causal effects. Provides a conditional causal effect identification algorithm (IDC) by Ilya Shpitser and Judea Pearl, an algorithm for transportability from multiple domains with limited experiments by Elias Bareinboim and Judea Pearl and a selection bias recovery algorithm by Elias Bareinboim and Jin Tian. All of the previously mentioned algorithms are based on a causal effect identification algorithm by Jin Tian.
| Version: | 1.3.0 |
| Imports: | ggm, igraph, XML |
| Suggests: | R.rsp |
| Published: | 2016-10-07 |
| Author: | Santtu Tikka |
| Maintainer: | Santtu Tikka <santtuth at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| 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_1.3.0.tar.gz |
| Windows binaries: | r-devel: causaleffect_1.3.0.zip, r-release: causaleffect_1.3.0.zip, r-oldrel: causaleffect_1.3.0.zip |
| OS X Mavericks binaries: | r-release: causaleffect_1.3.0.tgz, r-oldrel: causaleffect_1.3.0.tgz |
| Old sources: | causaleffect archive |
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