BEANDisco - Bayesian Exact and Approximate Network Discovery

BEANDisco is a program for Bayesian learning of Bayesian network structure from data. More specifically, it can generate samples from the posterior and compute the posterior probabilities of structural features.

Features

Download

BEANDisco is licensed under GNU GPL 3.0. The current version is:

BEANDisco-2.0.tar.gz (updated 22 Apr 2016)

(Older versions are also available: 1.0.1 (30 Nov 2011), 1.0 (23 Jun 2011))

Compilation requires a compiler that supports C++11 and the Boost library. See README for further compilation and usage instructions.

Algorithms/References

The novel algorithms implemented in BEANDisco are described in the following article: Older related publications:

Contact

In case of questions, suggestions or general feedback, please contact Teppo Niinimäki.

Last modified 11 May 2016