entropy: Estimation of Entropy, Mutual Information and Related Quantities
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.
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
binda, Cogito, sda |
| Reverse imports: |
archetypal, autoBagging, biogram, bnclassify, clustifyr, deepMOU, DTWBI, DTWUMI, einet, EpiSemble, EvaluateCore, FSelector, funModeling, ggsom, hilbertSimilarity, Informeasure, jenga, ldamatch, miRLAB, msu, naive, netSmooth, oclust, PINSPlus, prefeR, sabre, SCEnt, schex, scISR, segen, sincell, spooky, tetragon |
| Reverse suggests: |
abn, conos, embryogrowth, FSelectorRcpp, proxyC, quanteda.textstats, sgsR, WGCNA |
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