BCDAG

cranv1.1.3

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. Ref

License MIT + file LICENSE0 versions1 maintainers10 deps84 weekly dl
alesmascaro/BCDAG
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graphgraphicsgRbaseRgraphvizgrDeviceslatticemethodsmvtnormstatsutils
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First published · 2025-02-28 11:52:44

Last updated · 2025-02-28T10:00:09+00:00