Package: entropy
Version: 1.1.3
Date: 2009-01-09
Title: Entropy and Mutual Information Estimation
Author: Jean Hausser and Korbinian Strimmer
Maintainer: Korbinian Strimmer <strimmer@uni-leipzig.de>
Depends: R (>= 2.7.0)
Suggests:
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 mutual information.
License: GPL (>= 3)
URL: http://strimmerlab.org/software/entropy/
Packaged: Fri Jan  9 11:56:10 2009; strimmer

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 mutual information.
Packaged: Sat Aug 8 13:57:02 2009; strimmer

Packaged: Sun Apr 11 15:10:12 2010; strimmer

offers an R interface to the NSB estimator.  Furthermore, it

Title: Estimation of Entropy, Mutual Information and Related Quantities
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.

chi-squared, mutual information, and chi-squared statistic of independence.

Description: Implements various estimators of entropy for discrete random
variables, including the shrinkage estimator by Hausser and Strimmer (2009),
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, the package provides functions for estimating the
Kullback-Leibler divergence, the chi-squared divergence, mutual information,
and the chi-squared divergence of independence.  It also computes the
G statistic and the chi-squared statistic and corresponding p-values.
Furthermore, there are functions for discretizing continuous random variables.