bnlearn
type: Item
swMATH work ID: 8265
instance of: R package
software version identifier: 4.8.1
software version identifier: 4.8.3
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software version identifier: 1.4.1
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software version identifier: 2.0
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software version identifier: 4.0
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software version identifier: 4.1
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software version identifier: 4.4.1
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software version identifier: 4.6.1
software version identifier: 4.6
software version identifier: 4.7.1
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software version identifier: 4.8
software version identifier: 4.9
software version identifier: 4.9.1
maintained by: Marco Scutari
CRAN project: bnlearn
programmed in: R
last update: 2023-12-05T00:00:00Z
description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC, Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu Search) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries, cross-validation, bootstrap and model averaging. Development snapshots with the latest bugfixes are available from <https://www.bnlearn.com/>.
author: Marco Scutari
copyright license: GNU General Public License, version 2.0
copyright license: GNU General Public License, version 3.0
depends on software: methods
depends on software: R
MaRDI profile type: Software
source code repository: bnlearn
description: Bayesian Network Structure Learning, Parameter Learning and Inference