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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 |
Please use the canonical form https://CRAN.R-project.org/package=entropy to link to this page.
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.