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bnlearn (version 0.3)

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-AIMB) algoirthm.

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Version

Install

install.packages('bnlearn')

Monthly Downloads

24,198

Version

0.3

License

GPL version 2 or newer

Maintainer

Marco Scutari

Last Published

January 7th, 2025

Functions in bnlearn (0.3)

learning.test

Synthetic dataset to test learning algorithms
mb

Utility functions to manipulate graphs
compare

Compare two different Bayesian networks
choose.direction

Try to infer the direction of an undirected arc
bnlearn-package

Bayesian network constraint-based structure learning.
plot.bn

Plot a Bayesian Network
inter.iamb

Interleaved Incremental Association (Inter-IAMB) learning algorithm
fast.iamb

Fast Incremental Association (Fast-IAMB) learning algorithm
gs

Grow-Shrink (GS) learning algorithm
iamb

Incremental Association (IAMB) learning algorithm