Causal Inference Assistance (CIA) for performing causal inference within the structural causal modelling framework. Structure learning is performed using partition Markov chain Monte Carlo (Kuipers & Moffa, 2017) and several additional functions have been added to help with causal inference. Kuipers and Moffa (2017) <doi:10.1080/01621459.2015.1133426>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.4.0) |
| Imports: |
bnlearn (≥ 4.9), igraph, doParallel, parallel, foreach, arrangements, graphics, dplyr, rlang, fastmatch, methods, gRain, patchwork, tidyr |
| Suggests: |
rmarkdown, knitr, testthat (≥ 3.0.0), gtools, gRbase, ggplot2, qgraph, dagitty |
| Published: |
2024-11-13 |
| DOI: |
10.32614/CRAN.package.cia |
| Author: |
Mathew Varidel 
[aut, cre, cph],
Victor An [ctb] |
| Maintainer: |
Mathew Varidel <mathew.varidel at sydney.edu.au> |
| BugReports: |
https://github.com/SpaceOdyssey/cia/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://spaceodyssey.github.io/cia/ |
| NeedsCompilation: |
no |
| Citation: |
cia citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
cia results |