marginals: compute the list of inferred marginals of a BN.

In bnstruct: Bayesian Network Structure Learning from Data with Missing Values

compute the list of inferred marginals of a BN.

Description

Given an InferenceEngine, it returns a list containing the marginals for the variables in the network, according to the propagated beliefs.

Usage

marginals(x, ...)

## S4 method for signature 'InferenceEngine'
marginals(x, ...)

Arguments

x	an InferenceEngine
...	potential further arguments of methods.

Value

a list containing the marginals of each variable, as probability tables.

Examples

## Not run: 
eng <- InferenceEngine(net)
marginals(eng)

## End(Not run)

bnstruct documentation built on May 29, 2024, 3:17 a.m.