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bnlearn (version 0.5)

Bayesian network structure learning

Description

Bayesian network structure learning via constraint-based (also known as 'conditional independence') algorithms. This package implements the Grow-Shrink (GS) algorithm, the Incremental Association (IAMB) algorithm, the Interleaved-IAMB (Inter-IAMB) algorithm and the Fast-IAMB (Fast-IAMB) algorithm for both discrete and gaussian networks. Simulation and some score functions are implemented for discrete networks.

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Version

Install

install.packages('bnlearn')

Monthly Downloads

24,158

Version

0.5

License

GPL (>= 2)

Maintainer

Marco Scutari

Last Published

August 20th, 2025

Functions in bnlearn (0.5)

bnlearn-package

Bayesian network constraint-based structure learning.

Drop, add or set the direction of an arc

Score of the Bayesian network

Interleaved Incremental Association (Inter-IAMB) learning algorithm

Fast Incremental Association (Fast-IAMB) learning algorithm

The bn class structure

choose.direction

Try to infer the direction of an undirected arc

Plot a Bayesian network

model string tools

Build a model string from a Bayesian network and vice versa

Generate random data from a given Bayesian network

Grow-Shrink (GS) learning algorithm

graph generation tools

Generate an empty graph

Incremental Association (IAMB) learning algorithm

Utilities to manipulate graphs

Compare two different Bayesian networks

Synthetic dataset to test learning algorithms