conditionalShannonEntropy: Conditional Shannon Entropy

In SCCI: Stochastic Complexity-Based Conditional Independence Test for Discrete Data

Description

Calculates the Shannon entropy of a discrete random variable X conditioned on a discrete (possibly multivariate) random variable Y.

Usage

conditionalShannonEntropy(x, y)	

Arguments

x	A discrete vector.
y	A data frame.

Examples

set.seed(1)
x = round((runif(1000, min=0, max=5)))
Y = data.frame(round((runif(1000, min=0, max=5))), round((runif(1000, min=0, max=5))))
conditionalShannonEntropy(x=x,y=Y) ## 2.411972

SCCI documentation built on June 4, 2019, 5:03 p.m.