entropy: Estimation of Entropy, Mutual Information and Related Quantities

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, chi-squared, mutual information, and chi-squared statistic of independence. In addition there are functions for discretizing continuous random variables.

Version: 1.2.1
Depends: R (≥ 2.15.1)
Published: 2014-11-14
Author: Jean Hausser and Korbinian Strimmer
Maintainer: Korbinian Strimmer <strimmerlab at gmail.com>
License: GPL (≥ 3)
URL: http://strimmerlab.org/software/entropy/
NeedsCompilation: no
Materials: NEWS
CRAN checks: entropy results


Reference manual: entropy.pdf
Package source: entropy_1.2.1.tar.gz
Windows binaries: r-devel: entropy_1.2.1.zip, r-release: entropy_1.2.1.zip, r-oldrel: entropy_1.2.1.zip
macOS binaries: r-release: entropy_1.2.1.tgz, r-oldrel: entropy_1.2.1.tgz
Old sources: entropy archive

Reverse dependencies:

Reverse depends: binda, randnet, sda
Reverse imports: autoBagging, Autotuner, biogram, bnclassify, clustifyr, deepMOU, DTWBI, DTWUMI, einet, EvaluateCore, FSelector, funModeling, ggsom, hilbertSimilarity, Informeasure, ldamatch, miRLAB, msu, netSmooth, oclust, PINSPlus, prefeR, rcosmo, sabre, schex, sincell
Reverse suggests: embryogrowth, FSelectorRcpp, quanteda, quanteda.textstats, varrank, WGCNA


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