printBN: BN printing

In MoTBFs: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions

BN printing

Description

Prints the content of a hybrid Bayesian network

Usage

printBN(MoTBF.BN)

Arguments

MoTBF.BN

The output of the method MoTBFs_Learning().

Value

The results of the fitted functions in the full network.

See Also

MoTBFs_Learning

Examples

## Dataset Ecoli
require(MoTBFs)
data(ecoli)
data <- ecoli[,-c(1)] ## remove variable sequence

## Directed acyclic graph
dag <- LearningHC(data)

## Learning BN
intervals <- 3
potential <- "MOP"
P <- MoTBFs_Learning(graph = dag, data = data, numIntervals = intervals, POTENTIAL_TYPE=potential,
maxParam = 15)
printBN(P)

MoTBFs documentation built on April 18, 2022, 5:06 p.m.