Categorical Bayesian Network Inference

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.

catnet

Categorical Bayesian Network Inference

Catnet is a R package for structure learning and parameter estimation of discrete Bayesian networks using likelihood-based criteria. It implements a dynamic programming algorithm for exhaustive search across networks with a given node order and stochastic search of optimal node orders via simulated annealing algorithm.