dosearch: Causal Effect Identification from Multiple Incomplete Data Sources

Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm. Allows for the presence of mechanisms related to selection bias (Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>), transportability (Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>), missing data (Mohan, K. and Pearl, J. and Tian., J. (2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these.

Version: 1.0.1
Imports: Rcpp (≥ 0.12.19)
LinkingTo: Rcpp
Suggests: R.rsp
Published: 2019-02-08
Author: Santtu Tikka ORCID iD [aut, cre], Antti Hyttinen ORCID iD [ctb], Juha Karvanen ORCID iD [ctb]
Maintainer: Santtu Tikka <santtuth at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
CRAN checks: dosearch results

Downloads:

Reference manual: dosearch.pdf
Vignettes: Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach
Package source: dosearch_1.0.1.tar.gz
Windows binaries: r-devel: dosearch_1.0.1.zip, r-release: dosearch_1.0.1.zip, r-oldrel: dosearch_1.0.1.zip
OS X binaries: r-release: dosearch_1.0.1.tgz, r-oldrel: dosearch_1.0.1.tgz
Old sources: dosearch archive

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