All Classes and Interfaces

Class	Description
CachedPair<T1,T2>	A pair of things with a cached hashcode.
CachedTriple<T1,T2,T3>	A triple of things.
Gamma	Static functions for computing the Gamma and log Gamma functions on real valued inputs.
InformationTheory	A class of (discrete) information theoretic functions.
InformationTheory.GTestStatistics	An immutable named tuple containing the statistics from a G test.
InformationTheoryDemo	Demo showing how to calculate various mutual informations and entropies.
InformationTheoryDemo.DemoOptions	Command line options.
InformationTheoryDemo.DistributionType	Type of data distribution.
PairDistribution<T1,T2>	A count distribution over CachedPair objects.
Row<T>	A row of values from a RowList.
RowList<T>	An implementation of a List which wraps a set of lists.
TripleDistribution<T1,T2,T3>	Generates the counts for a triplet of vectors.
WeightCountTuple	A mutable tuple of a double and a long.
WeightedInformationTheory	A class of (discrete) weighted information theoretic functions.
WeightedInformationTheory.VariableSelector	Chooses which variable is the one with associated weights.
WeightedPairDistribution<T1,T2>	Generates the counts for a pair of vectors.
WeightedTripleDistribution<T1,T2,T3>	Generates the counts for a triplet of vectors.