coef.motbf: Extract the coefficients of an MoTBF

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

Extract the coefficients of an MoTBF

Description

Extracts the parameters of the learned mixtures of truncated basis functions.

Usage

## S3 method for class 'motbf'
coef(object, ...)

Arguments

object	An object of class motbf.
...	other arguments.

Value

A numeric vector with the parameters of the function.

See Also

univMoTBF, coeffMOP and coeffMTE

Examples

## Data
X <- rchisq(2000, df = 5)

## Learning
f1 <- univMoTBF(X, POTENTIAL_TYPE = "MOP"); f1
## Coefficients
coef(f1)

## Learning
f2 <- univMoTBF(X, POTENTIAL_TYPE = "MTE", maxParam = 10); f2
## Coefficients
coef(f2)

## Learning
f3 <- univMoTBF(X, POTENTIAL_TYPE = "MOP", nparam=10); f3
## Coefficients
coef(f3)

## Plots
plot(NULL, xlim = range(X), ylim = c(0,0.2), xlab="X", ylab="density")
plot(f1, xlim = range(X), col = 1, add = TRUE)
plot(f2, xlim = range(X), col = 2, add = TRUE)
plot(f3, xlim = range(X), col = 3, add = TRUE)
hist(X, prob = TRUE, add= TRUE)

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