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README.md
In catnet: Categorical Bayesian Network Inference
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.
Try the catnet package in your browser
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catnet documentation built on Nov. 10, 2022, 5:08 p.m.
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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.
Try the catnet package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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