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.

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Description file content

Package
dosearch
Type
Package
Version
1.0.2
Date
2019-02-28
Title
Causal Effect Identification from Multiple Incomplete Data Sources
Description
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) ), transportability (Bareinboim, E. and Pearl, J. (2014) ), missing data (Mohan, K. and Pearl, J. and Tian., J. (2013) ) and arbitrary combinations of these.
License
GPL (>= 2)
Imports
Rcpp (>= 0.12.19)
LinkingTo
Rcpp
SystemRequirements
C++11
NeedsCompilation
yes
Author
Santtu Tikka [aut, cre] (), Antti Hyttinen [ctb] (), Juha Karvanen [ctb] ()
Maintainer
Santtu Tikka
Suggests
R.rsp, DOT
VignetteBuilder
R.rsp
Packaged
2019-02-28 08:04:27 UTC; santikka
Repository
CRAN
Date/Publication
2019-02-28 08:30:07 UTC

install.packages('dosearch')

1.0.2

3 months ago

Santtu Tikka

GPL (>= 2)

Imports

Rcpp (>= 0.12.19)

Suggests

R.rsp, DOT

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