entropy.NSB
(Package: entropy) :
R Interface to NSB Entropy Estimator
entropy.NSB estimates the Shannon entropy H of the random variable Y from the corresponding observed counts y using the method of Nemenman, Shafee and Bialek (2002).
● Data Source:
CranContrib
● Keywords: univar
● Alias: entropy.NSB
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entropy
(Package: entropy) :
Estimating Entropy From Observed Counts
entropy estimates the Shannon entropy H of the random variable Y from the corresponding observed counts y.
● Data Source:
CranContrib
● Keywords: univar
● Alias: entropy, freqs
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KL.plugin
(Package: entropy) :
Plug-In Estimator of the Kullback-Leibler divergence and of the Chi-Squared Statistic
KL.plugin computes the Kullback-Leiber (KL) divergence from random variable X_1 to X_2. The corresponding probability mass functions are given by freqs1 and freqs2, and the expectation is computed over freqs1.
● Data Source:
CranContrib
● Keywords: univar
● Alias: KL.plugin, chi2.plugin
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entropy.ChaoShen estimates the Shannon entropy H of the random variable Y from the corresponding observed counts y using the method of Chao and Shen (2003).
● Data Source:
CranContrib
● Keywords: univar
● Alias: entropy.ChaoShen
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Internal entropy functions.
● Data Source:
CranContrib
● Keywords: internal
● Alias: nsbload, nsbsave
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entropy.shrink
(Package: entropy) :
Shrinkage Estimators of Entropy, Mutual Information and Related Quantities
freq.shrink estimates the bin frequencies from the counts y using a James-Stein-type shrinkage estimator, where the shrinkage target is the uniform distribution.
● Data Source:
CranContrib
● Keywords: univar
● Alias: KL.shrink, chi2.shrink, chi2indep.shrink, entropy.shrink, freqs.shrink, mi.shrink
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discretize
(Package: entropy) :
Discretize Continuous Random Variables
discretize puts observations from a continuous random variable into bins and returns the corresponding vector of counts.
● Data Source:
CranContrib
● Keywords: univar
● Alias: discretize, discretize2d
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entropy.Dirichlet
(Package: entropy) :
Dirichlet Prior Bayesian Estimators of Entropy, Mutual Information
freqs.Dirichlet computes the Bayesian estimates of the bin frequencies using the Dirichlet-multinomial pseudocount model.
● Data Source:
CranContrib
● Keywords: univar
● Alias: KL.Dirichlet, chi2.Dirichlet, chi2indep.Dirichlet, entropy.Dirichlet, freqs.Dirichlet, mi.Dirichlet
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mi.plugin
(Package: entropy) :
Plug-In Estimator of Mutual Information and of the Chi-Squared Statistic of Independence
mi.plugin computes the mutual information of two discrete random variables from the specified joint bin frequencies.
● Data Source:
CranContrib
● Keywords: univar
● Alias: chi2indep.plugin, mi.plugin
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entropy.empirical
(Package: entropy) :
Empirical Estimators of Entropy and Mutual Information and Related Quantities
freqs.empirical computes the empirical frequencies from counts y.
● Data Source:
CranContrib
● Keywords: univar
● Alias: KL.empirical, chi2.empirical, chi2indep.empirical, entropy.empirical, freqs.empirical, mi.empirical
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providing 
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