`install.packages('bnlearn')`

25,278

4.1

GPL (>= 2)

February 9th, 2017

bn.cv

Cross-validation for Bayesian networks

bn.fit utilities

Utilities to manipulate fitted Bayesian networks

asia

Asia (synthetic) data set by Lauritzen and Spiegelhalter

arc operations

Drop, add or set the direction of an arc or an edge

alpha.star

Estimate the Optimal Imaginary Sample Size for BDe(u)

alarm

ALARM Monitoring System (synthetic) data set

bn class

The bn class structure

bn.fit class

The bn.fit class structure

bn.fit

Fit the parameters of a Bayesian network

arc.strength

Measure arc strength

compare

Compare two different Bayesian networks

bn.strength class

The bn.strength class structure

configs

Construct configurations of discrete variables

bn.fit plots

Plot fitted Bayesian networks

bn.boot

Parametric and nonparametric bootstrap of Bayesian networks

clgaussian.test

Synthetic (mixed) data set to test learning algorithms

choose.direction

Try to infer the direction of an undirected arc

bn.kcv class

The bn.kcv class structure

bnlearn-package

Bayesian network structure learning, parameter learning and inference

ci.test

Independence and Conditional Independence Tests

gRain integration

Import and export networks from the gRain package

graph utilities

Utilities to manipulate graphs

cpdag

Equivalence classes, moral graphs and consistent extensions

foreign files utilities

Read and write BIF, NET, DSC and DOT files

dsep

Test d-separation

deal integration

bnlearn - deal package integration

gaussian.test

Synthetic (continuous) data set to test learning algorithms

constraint-based algorithms

Constraint-based structure learning algorithms

coronary

Coronary Heart Disease data set

cpquery

Perform conditional probability queries

impute

Predict or Impute Missing Data from a Bayesian Network

score-based algorithms

Score-based structure learning algorithms

single-node local discovery

Discover the structure around a single node

graphviz.plot

Advanced Bayesian network plots

graph generation utilities

Generate empty or random graphs

learning.test

Synthetic (discrete) data set to test learning algorithms

hybrid algorithms

Hybrid structure learning algorithms

insurance

Insurance evaluation network (synthetic) data set

hailfinder

The HailFinder weather forecast system (synthetic) data set

graph integration

Import and export networks from the graph package

node ordering utilities

Utilities dealing with partial node orderings

parallel integration

bnlearn - snow/parallel package integration

misc utilities

Miscellaneous utilities

local discovery algorithms

Local discovery structure learning algorithms

model string utilities

Build a model string from a Bayesian network and vice versa

naive.bayes

Naive Bayes classifiers

lizards

Lizards' perching behaviour data set

marks

Examination marks data set

plot.bn

Plot a Bayesian network

plot.bn.strength

Plot arc strengths derived from bootstrap

strength.plot

Arc strength plot

test counter

Manipulating the test counter

relevant

Identify Relevant Nodes Without Learning the Bayesian network

score

Score of the Bayesian network

preprocess

Pre-process data to better learn Bayesian networks

rbn

Simulate random data from a given Bayesian network