bnlearn: clgaussian-test – R documentation

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clgaussian-test

Synthetic (mixed) data set to test learning algorithms

Description

This a synthetic data set used as a test case in the bnlearn package.

Usage

data(clgaussian.test)

Format

The clgaussian.test data set contains one normal (Gaussian) variable, 4 discrete variables and 3 conditional Gaussian variables.

Note

The R script to generate data from this network is available from https://www.bnlearn.com/documentation/networks/.

Examples

# load the data.
data(clgaussian.test)
# create and plot the network structure.
dag = model2network("[A][B][C][H][D|A:H][F|B:C][E|B:D][G|A:D:E:F]")
## Not run: graphviz.plot(dag)

bnlearn

Bayesian Network Structure Learning, Parameter Learning and Inference

v4.6.1

GPL (>= 2)

Authors

Marco Scutari [aut, cre], Robert Ness [ctb]

Initial release

2020-09-16