entropy: Estimation of Entropy, Mutual Information and Related Quantities (original) (raw)

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.

Version: 1.3.1
Depends: R (≥ 3.0.2)
Published: 2021-10-02
DOI: 10.32614/CRAN.package.entropy
Author: Jean Hausser and Korbinian Strimmer
Maintainer: Korbinian Strimmer
License: GPL (≥ 3)
URL: https://strimmerlab.github.io/software/entropy/
NeedsCompilation: no
Materials:
CRAN checks: entropy results

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: binda, Cogito, randnet, sda
Reverse imports: archetypal, autoBagging, biogram, bnclassify, CASMI, clustifyr, codez, deepMOU, DTWBI, DTWUMI, einet, epiregulon, EpiSemble, EvaluateCore, FSelector, funModeling, GB5mcPred, GenomicSig, ggsom, hilbertSimilarity, Informeasure, jenga, ldamatch, miRLAB, msu, naive, netSmooth, oclust, OpEnHiMR, PINSPlus, prefeR, rgnoisefilt, sabre, SCEnt, schex, scISR, segen, sincell, spinner, spooky, SuperCell, tetragon
Reverse suggests: abn, conos, embryogrowth, FSelectorRcpp, proxyC, quanteda.textstats, sgsR, varrank, WGCNA

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