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 + file LICENSE URL: https://github.com/alesmascaro/BCDAG NeedsCompilation: no Materials: README NEWS CRAN checks: BCDAG results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BCDAG to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4