learning-test: Synthetic (discrete) data set to test learning algorithms

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

Synthetic (discrete) data set to test learning algorithms

Description

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

Usage

data(learning.test)

Format

The learning.test data set contains the following variables:

• A, a three-level factor with levels a, b and c.

• B, a three-level factor with levels a, b and c.

• C, a three-level factor with levels a, b and c.

• D, a three-level factor with levels a, b and c.

• E, a three-level factor with levels a, b and c.

• F, a two-level factor with levels a and b.

Note

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

Examples

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

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