get.most.probable.values: compute the most probable values to be observed.

In tavazzie/bnstructScore: Bayesian Network Structure Learning from Data with Missing Values

Description

Return an array containing the values that each variable of the network is more likely to take, according to the CPTS. In case of ties take the first value.

Usage

get.most.probable.values(x, prev.values = NULL)

## S4 method for signature 'BN'
get.most.probable.values(x, prev.values = NULL)

## S4 method for signature 'InferenceEngine'
get.most.probable.values(x, prev.values = NULL)

Arguments

x	a BN or InferenceEngine object.
prev.values	vector of size num.nodes containing an existing observation to complete (NULL if none).

Value

array containing, in each position, the most probable value for the corresponding variable.

Examples

## Not run: 
# try with a BN object x
get.most.probable.values(x)

# now build an InferenceEngine object
eng <- InferenceEngine(x)
get.most.probable.values(eng)

## End(Not run)
 

tavazzie/bnstructScore documentation built on Dec. 23, 2021, 7:47 a.m.