probDiscreteVariable: Probability distribution of discrete variables

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

Probability distribution of discrete variables

Description

Compute the probabilities of a discrete variable from a dataset.

Usage

probDiscreteVariable(stateNames, Variable)

Arguments

stateNames	A "character" array indicating the states of the variable.
Variable	A "numeric" array containing the records of the variable.

Value

A list of "numeric" arrays:

coeff	Contains the probabilities.
sizeDataLeaf	Number of records in each leaf of the discrete tree.

See Also

discreteVariablesStates

Examples

## Discrete Variable
data <- data.frame(X=rep(c("yes", "no", "maybe"), 500))
data <- discreteVariables_as.character(data, "X")
n <- nrow(data)

## Probabilities
s <- discreteVariablesStates(namevariables="X", discreteData=data)
states <- s[[1]]$states
p <- probDiscreteVariable(stateNames=states, Variable=data$X)
p

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