r-catnet
Structure learning and parameter estimation of discrete Bayesian networks using likelihood-based criteria. Exhaustive search for fixed node orders and stochastic search of optimal orders via simulated annealing algorithm are implemented.
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Summary
Structure learning and parameter estimation of discrete Bayesian networks using likelihood-based criteria. Exhaustive search for fixed node orders and stochastic search of optimal orders via simulated annealing algorithm are implemented.
Last Updated
Nov 7, 2022 at 18:15
License
GPL-2.0-or-later
Supported Platforms
win-64
macOS-64
linux-64