catnet: 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.
Version: |
1.15.7 |
Depends: |
R (≥ 3.0.2) |
Imports: |
methods, stats, utils, graphics |
Published: |
2020-03-10 |
Author: |
Nikolay Balov [aut, cre] (Balov (2013) <doi:10.1214/13-EJS802>),
Peter Salzman [aut] |
Maintainer: |
Nikolay Balov <nhbalov at gmail.com> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
yes |
Materials: |
README |
In views: |
GraphicalModels |
CRAN checks: |
catnet results |
Documentation:
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