jointCDF: Joint MoTBFs CDFs

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

Joint MoTBFs CDFs

Description

Function to compute multivariate CDFs.

Usage

jointCDF(df, grid)

Arguments

df	The dataset as an object of class data.frame.
grid	a data.frame with the selected data points where the objective function will be evaluated when optimizing the parameters.

Value

jointCDF() returns a vector.

Examples

## Create dataset with 2 variables
n = 2
size = 50
df <- as.data.frame(matrix(round(rnorm(size*n),2), ncol = n))

## Create grid dataset
npointsgrid <- 10
ranges <- sapply(df, range)
eg <- list()
for(i in 1: ncol(df)){
  eg[[i]] <- seq(ranges[1,i], ranges[2,i], length.out = npointsgrid)
}

x <- expand.grid(eg)

## Joint cumulative values
jointCDF(df = df, grid = x)

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