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>.


News

Changes from version 1.2.4 to 1.3.0

  • Now implements a transportability algorithm from multiple domains with limited experiments. This function replaces the following functions: 'aux.effect', 'transport' and 'meta.transport'. These functions can still be called and they serve as wrappers for the new function 'generalize'.
  • Now implements a selection bias recovery algorithm in the function 'recover'.
  • Added vignette for the simplification procedure.
  • Fixed several bugs related to the simplification procedure.

Changes from version 1.2.3 to 1.2.4

  • Fixed an issue regarding the simplification of conditional causal effects.

Changes from version 1.2.2 to 1.2.3

  • Fixed an issue in the simplification procedure.

Changes from version 1.2.1 to 1.2.2

  • Added package vignette. Updated the simplification procedure to handle more situations.

Changes from version 1.2.0 to 1.2.1

  • Revised the simplification algorithm. The structure of the graph is now utilized.

Changes from version 1.1.3 to 1.2.0

  • Major revision which adds more algorithms for causal inference.

Changes from version 1.1.1 to 1.1.3

  • Fixed an error related to function definitions.
  • Fixed compatibility with igraph package version 1.0.1.

Changes from version 1.1.0 to 1.1.1

  • Fixed an issue that caused the results of some conditional causal effects to be erroneous.

Changes from version 1.0.0 to 1.1.0

  • Added functionality to identify conditional causal effects.

Reference manual

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install.packages("causaleffect")

1.3.5 by Santtu Tikka, 9 days ago


Browse source code at https://github.com/cran/causaleffect


Authors: Santtu Tikka


Documentation:   PDF Manual  


GPL-2 license


Imports ggm, igraph, XML

Suggests R.rsp


See at CRAN