clgaussian-test: Synthetic (mixed) data set to test learning algorithms

In bnlearn: Bayesian Network Structure Learning, Parameter Learning and Inference

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 documentation built on Sept. 11, 2024, 8:27 p.m.