BCDAG

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.

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