configs: Construct configurations of discrete variables

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

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.

Author(s)

Marco Scutari

Examples

data(learning.test)
configs(learning.test, all = TRUE)
configs(learning.test, all = FALSE)

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