DiscreteEntropy
is a Julia package to estimate the Shannon entropy of discrete random variables. It contains implementations of
many popular entropy estimators, such as Chao-Shen, NSB, Miller-Madow and various Bayesian estimators. Moreoever, it also contains functions
for estimating cross entropy, KL divergence, mutual information, conditional information, Theil's U and other entropy measures.
It supports Jackknife and Bayesian Bootstrap resampling for data poor estimation.
- Popularity
- 1 Star
- Updated Last
- 6 Months Ago
- Started In
- January 2023
Required Packages
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AbstractTrees
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Accessors
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AliasTables
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ANSIColoredPrinters
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ArgTools
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BenchmarkTools
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BitFlags
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ChainRulesCore
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Changepoints
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ChangesOfVariables
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CodecBzip2
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CodecZlib
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Colors
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ColorSchemes
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ColorTypes
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ColorVectorSpace
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CommonSolve
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CommonSubexpressions
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Compat
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CompositionsBase
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ConcurrentUtilities
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ConstructionBase
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Contour
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CSV
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DataAPI
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DataStructures
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DataValueInterfaces
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DelimitedFiles
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DensityInterface
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DiffResults
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DiffRules
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Distributed
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Distributions
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DocStringExtensions
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Documenter
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Downloads
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ExceptionUnwrapping
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FFMPEG
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FilePathsBase
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FillArrays
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FiniteDiff
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FixedPointNumbers
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Format
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ForwardDiff
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Git
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Optim
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QuadGK
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Roots
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SpecialFunctions
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StatsBase
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