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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 <strimmerlab at gmail.com> |
License: | GPL (≥ 3) |
URL: | https://strimmerlab.github.io/software/entropy/ |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | entropy results |
Reference manual: | entropy.pdf |
Package source: | entropy_1.3.1.tar.gz |
Windows binaries: | r-devel: entropy_1.3.1.zip, r-release: entropy_1.3.1.zip, r-oldrel: entropy_1.3.1.zip |
macOS binaries: | r-release (arm64): entropy_1.3.1.tgz, r-oldrel (arm64): entropy_1.3.1.tgz, r-release (x86_64): entropy_1.3.1.tgz, r-oldrel (x86_64): entropy_1.3.1.tgz |
Old sources: | entropy archive |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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