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.


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.

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install.packages("catnet")

1.15.7 by Nikolay Balov, 22 days ago


Browse source code at https://github.com/cran/catnet


Authors: Nikolay Balov [aut, cre] (Balov (2013) <doi:10.1214/13-EJS802>) , Peter Salzman [aut]


Documentation:   PDF Manual  


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GPL (>= 2) license


Imports methods, stats, utils, graphics


See at CRAN