bnlearn

5.2.1

Bayesian Network Structure Learning, Parameter Learning and Inference

33packages depend

322.2Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Marco ScutariFirst published 2007-09-2167 releasesCRAN page ↗

Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, MMPC, Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing, Tabu Search, DirectLiNGAM) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete, Gaussian, conditional Gaussian and zero-inflated 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, interventions, counterfactuals, cross-validation, bootstrap and model averaging. Development snapshots with the latest bugfixes are available from https://www.bnlearn.com/.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bnlearn", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bnlearn

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bnlearn

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bnlearn

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.9 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-07-22
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
WARNING2026-07-14
10 OK · 0 NOTE · 3 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 87%
Documented parameters: 88%
Return-value docs: 98%
References docs: 30%

Downloads

322.2K

CRAN downloads in the past year

Rank #606 · ~883/day · ~26.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

46.7K30 days

111.2K90 days

322.2K1 year

Compare downloads with other packages →

Also on813 r2u49 autocran6.6K conda_forge621 c2d4u

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (2)

R >= 4.4.0methods

Imports (0)

none

LinkingTo (0)

none

Suggests (10)

parallelgraph Rgraphviz igraphlatticegRbase gRain Rmpfr gmp glmnet

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

33direct

0indirect

Code & Tests

Code Composition

C 30,729 (49%)R 25,529 (41%)Rd 6,662 (11%)

Code characteristics

Object systems

S385S4 class5S4 generic1S4 method8

Cyclomatic complexity: 3.0 median / 43 max
System requirements: 1 external

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

1194 155 exported

Complexity

5.3 avg / 43 max

Call network

1194 nodes / 3176 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 10

Name	Class	Rows × Cols	Also ships in
alarm	data.frame	20,000 × 37	–
asia	data.frame	5,000 × 8	–
clgaussian.test	data.frame	5,000 × 8	–
coronary	data.frame	1,841 × 6	–
gaussian.test	data.frame	5,000 × 7	–
hailfinder	data.frame	20,000 × 56	–
insurance	data.frame	20,000 × 27	–
learning.test	data.frame	5,000 × 6	–
lizards	data.frame	409 × 3	–
marks	data.frame	88 × 5	–

People & History

People (2)

Maintainer (1)

Marco Scutari

Author, Maintainer

Authors (1)

Marco Scutari

Author, Maintainer

Contributors (1)

Tomi Silander

Contributor · added in 4.7

Listed in earlier versions (1)

Robert Ness

no longer listed · 4.2 to 4.9.4

Package Timeline

67 releases. Pick two to compare their code metrics. R releases are shown for context.

5.2.1Latest
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5.2
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R 4.6.0 released · 2026-04-24
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2025-08-20 · diff ↗
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R 4.5.0 released · 2025-04-11
5.0.2
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5.0
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R 4.4.0 released · 2024-04-24
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R 4.3.0 released · 2023-04-21

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R 4.2.0 released · 2022-04-22
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R 2.6.0 released · 2007-10-03
0.3
2007-09-21
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R 2.5.0 released · 2007-04-24

Package metadata

First published: 2007-09-21
Total releases: 67 / 19 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.4.0
Bundled data: 901 KB / 10 files
Download size: 1.3 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference Graphical Models High-Performance and Parallel Computing with R

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