compute the most probable values to be observed.

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

# S4 method for 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

if (FALSE) {
# try with a BN object x
get.most.probable.values(x)

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