BCDAG

swMATH42853CRANBCDAGMaRDI QIDQ1351753

Bayesian Structure and Causal Learning of Gaussian Directed Graphs

Alessandro Mascaro, Federico Castelletti

Last update: 10 February 2024

Copyright license: MIT license, File License

Software version identifier: 1.0.0, 1.1.0

Source code repository: https://github.com/cran/BCDAG

Description

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) <arXiv:2201.12003>.

Cites work

• Structural learning and estimation of joint causal effects among network-dependent variables
• BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs

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