A collection of functions for structure learning of causal networks and estimation of joint causal effects from observational Gaussian data. Main algorithm consists of a Markov chain Monte Carlo scheme for posterior inference of causal structures, parameters and causal effects between variables. References: F. Castelletti and A. Mascaro (2021) <doi:10.1007/s10260-021-00579-1>, F. Castelletti and A. Mascaro (2022) <doi:10.48550/arXiv.2201.12003>.
| Version: | 1.1.3 |
| Depends: | R (≥ 2.10) |
| Imports: | graph, graphics,gRbase,Rgraphviz, grDevices,lattice, methods,mvtnorm, stats, utils |
| Suggests: | rmarkdown,knitr,testthat (≥ 3.0.0) |
| Published: | 2025-02-28 |
| DOI: | 10.32614/CRAN.package.BCDAG |
| Author: | Federico Castelletti [aut], Alessandro Mascaro [aut, cre, cph] |
| Maintainer: | Alessandro Mascaro <alessandro.mascaro at upf.edu> |
| BugReports: | https://github.com/alesmascaro/BCDAG/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/alesmascaro/BCDAG |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | BCDAG results |
| Package source: | BCDAG_1.1.3.tar.gz |
| Windows binaries: | r-devel:BCDAG_1.1.3.zip, r-release:BCDAG_1.1.3.zip, r-oldrel:BCDAG_1.1.3.zip |
| macOS binaries: | r-release (arm64):BCDAG_1.1.3.tgz, r-oldrel (arm64):BCDAG_1.1.3.tgz, r-release (x86_64):BCDAG_1.1.3.tgz, r-oldrel (x86_64):BCDAG_1.1.3.tgz |
| Old sources: | BCDAG archive |
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