BCDAG
Bayesian Structure and Causal Learning of Gaussian Directed Graphs
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.
- Version1.1.3
- R versionR (≥ 2.10)
- LicenseMIT
- Needs compilation?No
- Last release02/28/2025
Documentation
Team
Alessandro Mascaro
MaintainerShow author detailsFederico Castelletti
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