Learn R Programming
⚠️There's a newer version (1.3.2) of this package.Take me there.

entropy (version 1.2.0)

Estimation of Entropy, Mutual Information and Related Quantities

Description

This package implements various estimators of entropy, such as the shrinkage estimator by Hausser and Strimmer, the maximum likelihood and the Millow-Madow estimator, various Bayesian estimators, and the Chao-Shen estimator. It also offers an R interface to the NSB estimator. Furthermore, it provides functions for estimating Kullback-Leibler divergence, chi2-squared, mutual information, and chi2-squared statistic of independence. In addition there are functions for discretizing continuous random variables.

Copy Link

Version

Install

install.packages('entropy')

Monthly Downloads

9,300

Version

1.2.0

License

GPL (>= 3)

Maintainer

Korbinian Strimmer

Last Published

July 16th, 2013

Functions in entropy (1.2.0)

entropy.MillerMadow

Miller-Madow Entropy Estimator
entropy.NSB

R Interface to NSB Entropy Estimator
entropy.plugin

Plug-In Entropy Estimator
entropy.Dirichlet

Dirichlet Prior Bayesian Estimators of Entropy, Mutual Information and Other Related Quantities
entropy-package

The entropy Package
mi.plugin

Plug-In Estimator of Mutual Information and of the Chi-Squared Statistic of Independence
KL.plugin

Plug-In Estimator of the Kullback-Leibler divergence and of the Chi-Squared Statistic
entropy-internal

Internal entropy functions
entropy

Estimating Entropy From Observed Counts
entropy.empirical

Empirical Estimators of Entropy and Mutual Information and Related Quantities
discretize

Discretize Continuous Random Variables
entropy.ChaoShen

Chao-Shen Entropy Estimator
entropy.shrink

Shrinkage Estimators of Entropy, Mutual Information and Related Quantities