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 + fileLICENSE |
| URL: | https://spaceodyssey.github.io/cia/ |
| NeedsCompilation: | no |
| Citation: | cia citation info |
| Materials: | README,NEWS |
| CRAN checks: | cia results |