bnlearn (version 4.6.1)

configs: Construct configurations of discrete variables

Description

Create configurations of discrete variables, which can be used in modelling conditional probability tables.

Usage

configs(data, all = TRUE)

Arguments

data

a data frame containing factor columns.

all

a boolean value. If TRUE all configuration are included as levels in the return value; otherwise only configurations which are actually observed are considered.

Value

A factor with one element for each row of data, and levels as specified by all.

Examples

# NOT RUN {
data(learning.test)
configs(learning.test, all = TRUE)
configs(learning.test, all = FALSE)
# }