https://github.com/santikka/causaleffect
causaleffect: R package for identifying causal effects.
https://github.com/santikka/causaleffect
causal-inference causal-models causality-algorithms directed-acyclic-graph graphs identifiability identification igraph r
Last synced: about 1 month ago
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causaleffect: R package for identifying causal effects.
- Host: GitHub
- URL: https://github.com/santikka/causaleffect
- Owner: santikka
- Created: 2020-11-27T08:21:20.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-10-28T06:20:16.000Z (over 2 years ago)
- Last Synced: 2023-11-20T10:44:40.067Z (over 1 year ago)
- Topics: causal-inference, causal-models, causality-algorithms, directed-acyclic-graph, graphs, identifiability, identification, igraph, r
- Language: R
- Homepage:
- Size: 350 KB
- Stars: 27
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# causaleffect: an R package for causal effect effect identification
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) .
For details, see the [package vignettes at CRAN](https://cran.r-project.org/package=causaleffect) and the paper [Identifying Causal Effects with the R Package
causaleffect](https://www.jstatsoft.org/article/view/v076i12)
## Installation
You can install the latest release version from CRAN:
```R
install.packages("causaleffect")
```
Alternatively, you can install the latest development version by using the devtools package:
```R
install.packages("devtools")
devtools::install_github("santikka/causaleffect")
```
## Recent changes (for all changes, see NEWS file).
### Changes from version 1.3.14 to 1.3.15
* Replaced deprecated igraph edge indexing to avoid future warnings.
### Changes from version 1.3.13 to 1.3.14
* Fixed a rare issue when using pruning.
### Changes from version 1.3.12 to 1.3.13
* Fixed an incorrect graph definition in the IDC algorithm.
### Changes from version 1.3.11 to 1.3.12
* The package no longer depends on the 'ggm' package.
* The package no longer requires the 'XML' package, now suggests instead.
### Changes from version 1.3.10 to 1.3.11
* Fixed inconsistency with function arguments when computing causal effects with surrogate experiments using 'aux.effect'.
* Fixed a rare issue with simplification.