mlf (version 1.2.1)

mi: Mutual Information

Description

Estimates Kullback-Leibler divergence of joint distribution and the product of two respective marginal distributions. Roughly speaking, the amount of information one variable provides about another.

Usage

mi(x, y)

Arguments

x, y

numeric or discrete data vectors

Examples

# NOT RUN {
# Sample data
a <- rnorm(25, 80, 35)
b <- rnorm(25, 100, 50)

mlf::mi(a, b)
# }