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bnlearn
Bayesian Network Structure Learning, Parameter Learning and Inference
View on CRAN: Click
here
Download and install bnlearn package within the R console
Install from CRAN:
install.packages("bnlearn")
Install from Github:
library("remotes")
install_github("cran/bnlearn") Install by package version:
library("remotes")
install_version("bnlearn", "5.0.2") Attach the package and use:
library("bnlearn")
Maintained by
Marco Scutari
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
https://www.bnlearn.com/ . 10.32614/CRAN.package.bnlearn . https://www.bnlearn.com/ . bnlearn citation info . bnlearn results . bnlearn.pdf . bnlearn_5.0.2.tar.gz . bnlearn_5.0.2.zip . bnlearn_5.0.2.zip . bnlearn_4.9.4.zip . bnlearn_5.0.2.tgz . bnlearn_5.0.2.tgz . bnlearn_4.9.4.tgz . bnlearn_5.0.2.tgz . bnlearn_5.0.2.tgz . bnlearn_4.9.4.tgz . bnlearn archive . dbnlearn . https://CRAN.R-project.org/package=bnlearn .
First Published: 2007-09-21
Latest Update: 2023-04-29
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 .
How to cite:
Marco Scutari (2007). bnlearn: Bayesian Network Structure Learning, Parameter Learning and Inference. R package version 5.0.2, https://cran.r-project.org/web/packages/bnlearn. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.3 (2007-09-21 17:18), 0.4 (2007-11-11 11:54), 0.5 (2007-12-08 15:43), 0.6 (2008-02-09 21:00), 0.7 (2008-03-26 11:26), 0.8 (2008-06-20 12:52), 0.9 (2008-09-08 09:42), 1.0 (2008-11-02 19:56), 1.1 (2009-01-14 19:12), 1.2 (2009-02-05 10:15), 1.3 (2009-03-29 16:54), 1.4.1 (2009-06-14 21:07), 1.4 (2009-05-05 20:08), 1.5 (2009-07-21 20:47), 1.6 (2009-08-24 13:00), 1.7 (2009-10-26 20:26), 1.8 (2010-01-07 16:41), 1.9 (2010-02-14 20:26), 2.0 (2010-05-11 20:43), 2.1.1 (2010-07-10 12:13), 2.1 (2010-06-14 08:55), 2.2 (2010-08-18 16:35), 2.3 (2010-11-19 14:26), 2.4 (2011-02-27 19:39), 2.5 (2011-06-02 07:34), 2.6 (2011-08-28 07:37), 2.7 (2011-10-08 08:43), 2.8 (2011-12-05 20:12), 2.9 (2012-03-05 20:05), 3.0 (2012-07-05 14:57), 3.1 (2012-09-27 12:03), 3.2 (2012-11-18 13:45), 3.3 (2013-03-05 07:01), 3.4 (2013-07-26 22:47), 3.5 (2014-01-23 10:43), 3.6 (2014-06-17 21:16), 3.7.1 (2015-01-23 09:57), 3.7 (2015-01-14 01:52), 3.8.1 (2015-05-17 12:45), 3.8 (2015-05-03 07:07), 3.9 (2015-11-27 14:59), 4.0 (2016-05-16 14:47), 4.1.1 (2017-03-26 09:40), 4.1 (2017-02-09 18:20), 4.2 (2017-07-03 15:35), 4.3 (2018-01-15 15:47), 4.4.1 (2019-03-05 23:00), 4.4 (2018-10-16 15:20), 4.5 (2019-08-05 06:20), 4.6.1 (2020-09-21 06:10), 4.6 (2020-09-15 10:50), 4.7.1 (2022-03-31 10:30), 4.7 (2021-09-06 19:30), 4.8.1 (2022-09-22 00:50), 4.8.3 (2023-04-29 12:30), 4.8 (2022-09-19 10:56), 4.9.1 (2023-12-05 16:40), 4.9.2 (2024-03-12 13:40), 4.9.3 (2024-03-15 14:00), 4.9.4 (2024-05-03 00:30), 4.9 (2023-09-07 09:20), 5.0.1 (2024-08-19 19:40), 5.0 (2024-07-30 19:30)
Other packages that cited bnlearn R package
View bnlearn citation profile
Other R packages that bnlearn depends,
imports, suggests or enhances
Complete documentation for bnlearn
Functions, R codes and Examples using
the bnlearn R package
Some associated functions: alarm . alpha.star . arc.strength . arcops . asia . bayesian.network.classifiers . bf . blacklist . bn.class . bn.cv . bn.fit.class . bn.fit.methods . bn.fit . bn.fit.plots . bn.kcv.class . bn.strength-class . bnboot . bnlearn-package . ci.test . clgaussian-test . compare . conditional.independence.tests . configs . constraint . coronary . count.graphs . cpdag . cpquery . dsep . foreign . gRain . gaussian-test . graph . graphgen . graphpkg . graphviz.chart . graphviz.plot . hailfinder . hc . hybrid . igraphpkg . impute . insurance . kl . learn . learning-test . lizards . marks . mb . mi.matrix . modelstring . mvnorm . naive.bayes . network.scores . nodeops . ordering . pcalg . plot.bn . plot.bn.strength . predict.and.impute . preprocessing . rbn . rocrpkg . score . statspkg . strength.plot . structural.em . structure.learning . test.counter . whitelists.and.blacklists .
Some associated R codes: aracne.R . arc.operations.R . arc.strength.R . averaged.fitted.R . averaged.network.R . backend-indep.R . backend-s4.R . backend-score.R . bootstrap.R . chow.liu.R . ci.test.R . classifiers.R . cpdag.R . cpq.R . custom.fit.R . cv.R . data.preprocessing.R . enumeration.R . fast-iamb.R . fit.R . fitted.assignment.R . foreign-read.R . foreign-write.R . formula.R . frontend-amat.R . frontend-arcs.R . frontend-averaging.R . frontend-bn.R . frontend-bootstrap.R . frontend-data.R . frontend-fit.R . frontend-foreign.R . frontend-formula.R . frontend-graph.R . frontend-lattice.R . frontend-learning.R . frontend-missingdata.R . frontend-mvnorm.R . frontend-nodes.R . frontend-packages.R . frontend-plot.R . frontend-predict.R . frontend-print.R . frontend-queries.R . frontend-score.R . frontend-simulation.R . frontend-strength.R . gRain.R . globals.R . graph-generation.R . graphviz-backend.R . graphviz-chart.R . graphviz-compare.R . grow-shrink.R . hill-climbing.R . hiton-pc.R . hybrid-pc.R . iamb-fdr.R . impute.R . incremental-association.R . init.R . inter-iamb.R . kullback.leibler.R . lattice.R . learning-algorithms.R . likelihood.R . loss.R . maxmin-pc.R . most.probable.explanation.R . mvnorm.R . nparams.R . pcalgo.R . predict.R . refit.lm.R . sanitization-amat.R . sanitization-arclists.R . sanitization-bootstrap.R . sanitization-classifiers.R . sanitization-cv.R . sanitization-data.R . sanitization-discretization.R . sanitization-enumeration.R . sanitization-fitted-assignment.R . sanitization-fitted.R . sanitization-fitting.R . sanitization-formula.R . sanitization-graph.R . sanitization-graphgen.R . sanitization-learning.R . sanitization-loss.R . sanitization-misc.R . sanitization-models.R . sanitization-mutual.R . sanitization-plot.R . sanitization-predict.R . sanitization-queries.R . sanitization-scores.R . sanitization-strength.R . sanitization-tests.R . sanitization-types.R . sanitization-vsdata.R . scores.R . simulation.R . tabu.R . test.R . utils-amat.R . utils-arcs.R . utils-cluster.R . utils-elist.R . utils-graph.R . utils-misc.R . utils-plot.R . utils-print.R . utils-strength.R . utils-tests.R . Full bnlearn package functions and examples
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