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.
For details, see the package vignettes at CRAN and the paper Identifying Causal Effects with the R Package causaleffect
You can install the latest release version from CRAN:
install.packages("causaleffect")
Alternatively, you can install the latest development version by using the devtools package:
install.packages("devtools")
# devtools::install_github("santikka/causaleffect")
install.packages("causaleffect", repos = c('https://santikka.r-universe.dev', 'https://cloud.r-project.org'))