dimensionFunction: Dimension of MoTBFs

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

Dimension of MoTBFs

Description

Get the dimension of "motbf" and "jointmotbf" densities.

Usage

dimensionFunction(P)

Arguments

P	An object of class "motbf" and subclass 'mop' or "jointmotbf".

Value

Dimension of the function.

See Also

univMoTBF and jointMoTBF

Examples

## 1. EXAMPLE 
## Data
X <- rnorm(2000)

## Univariate function
subclass <- "MOP"
f <- univMoTBF(X, POTENTIAL_TYPE = subclass)
dimensionFunction(f)

## 2. EXAMPLE 
## Dataset with 2 variables
X <- data.frame(rnorm(100), rnorm(100))

## Joint function
dim <- c(2,3)
param <- parametersJointMoTBF(X, dimensions = dim)
P <- jointMoTBF(param)

## Dimension of the joint function
dimensionFunction(P)

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