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causaleffect
Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models
View on CRAN: Click
here
Download and install causaleffect package within the R console
Install from CRAN:
install.packages("causaleffect")
Install from Github:
library("remotes")
install_github("cran/causaleffect") Install by package version:
library("remotes")
install_version("causaleffect", "1.3.15") Attach the package and use:
library("causaleffect")
Maintained by
Santtu Tikka
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-25
Latest Update: 2022-07-14
Description:
Functions for identification and transportation of causal effects. Provides a conditional causal effect identification algorithm (IDC) by Shpitser, I. and Pearl, J. (2006) , an algorithm for transportability from multiple domains with limited experiments by Bareinboim, E. and Pearl, J. (2014) , and a selection bias recovery algorithm by Bareinboim, E. and Tian, J. (2015) . All of the previously mentioned algorithms are based on a causal effect identification algorithm by Tian , J. (2002) .
How to cite:
Santtu Tikka (2014). causaleffect: Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models. R package version 1.3.15, https://cran.r-project.org/web/packages/causaleffect. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:24), 1.0 (2014-09-25 22:42), 1.1.1 (2015-04-28 20:07), 1.1.3 (2015-06-30 09:22), 1.1 (2015-04-21 23:51), 1.2.0 (2015-08-03 09:29), 1.2.2 (2016-01-25 13:31), 1.2.3 (2016-02-01 13:34), 1.2.4 (2016-02-23 09:40), 1.3.0 (2016-10-07 18:10), 1.3.3 (2017-02-22 23:23), 1.3.4 (2017-05-10 15:21), 1.3.5 (2017-09-11 13:36), 1.3.6 (2018-01-18 18:57), 1.3.7 (2018-03-07 10:30), 1.3.8 (2018-05-29 09:18), 1.3.9 (2018-11-29 07:00), 1.3.10 (2019-09-26 15:00), 1.3.12 (2021-01-12 15:30), 1.3.13 (2021-06-14 08:10)
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Other R packages that causaleffect depends,
imports, suggests or enhances
Complete documentation for causaleffect
Functions, R codes and Examples using
the causaleffect R package
Some associated functions: causal.effect . causaleffect-package . generalize . get.expression . meta.transport . parse.graphml . recover . surrogate.outcome . transport . zzaux.effect .
Some associated R codes: activate.interventions.R . activate.selection.variable.R . ancestors.R . c.components.R . cancel.R . cancel.out.R . cancel.rc.R . causal.effect.R . causal.parents.R . children.R . compare.graphs.R . compute.c.factor.R . connected.R . dSep.R . deconstruct.R . dependencies.R . descendants.R . descendent.sets.R . exclusion.restrictions.R . factorize.R . generalize.R . generalize_ex.R . get.expression.R . get.expression.internal.R . id.R . idc.R . identify.R . independence.restrictions.R . insert.R . irrelevant.R . is.prefix.R . join.R . latent.projection.R . meta.transport.R . observed.graph.R . parents.R . parse.expression.R . parse.graphml.R . parse.graphml.internal.R . parse.graphml.standard.R . parse.joint.R . pid.R . powerset.R . probability.R . q.constraints.R . rc.R . recover.R . sc.components.R . set.primes.R . simplify.R . simplify.expression.R . simplify.trmz.R . so.factorize.R . soid.R . surrogate.outcome.R . tr.target.R . transport.R . trmz.R . trmz_ex.R . trso.R . ts.operator.R . unobserved.graph.R . verma.constraints.R . wrap.dSep.R . zero.children.R . zzaux.effect.R . Full causaleffect package functions and examples
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