Package: causaleffect 1.3.16

causaleffect: Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models

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>.

Authors:Santtu Tikka [aut, cre]

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Bug tracker:https://github.com/santikka/causaleffect/issues

On CRAN:

causal-inferencecausal-modelscausality-algorithmsdirected-acyclic-graphgraphsidentifiabilityidentificationigraph

10 exports 29 stars 2.52 score 11 dependencies 1 dependents 45 scripts 540 downloads

Last updated 2 years agofrom:78810a82c6. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

Exports:aux.effectcausal.effectgeneralizeget.expressionmeta.transportparse.graphmlrecoversurrogate.outcometransportverma.constraints

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs