derivMoTBF: Derivating MoTBFs

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

Derivating MoTBFs

Description

Compute the derivative of a one-dimensional mixture of truncated basis function.

Usage

derivMoTBF(fx)

Arguments

fx	An object of class "motbf".

Value

The derivative of the MoTBF function, which is also an object of class "motbf".

See Also

univMoTBF, derivMOP and derivMTE

Examples

## 1. EXAMPLE
X <- rexp(1000)
Px <- univMoTBF(X, POTENTIAL_TYPE="MOP")
derivMoTBF(Px)

## 2. EXAMPLE
X <- rnorm(1000)
Px <- univMoTBF(X, POTENTIAL_TYPE="MOP")
derivMoTBF(Px)

## 3. EXAMPLE
X <- rchisq(1000, df = 3)
Px <- univMoTBF(X, POTENTIAL_TYPE="MTE")
derivMoTBF(Px)

## Not run: 
## 4. EXAMPLE
Px <- "x+2"
class(Px)
derivMoTBF(Px)
## Error in derivMoTBF(Px): "fx is not an 'motbf' function."

## End(Not run)

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