All Classes

Class	Description
AbstractContinuousDistribution	Base class for probability distributions on the reals.
AbstractDiscreteDistribution	Base class for integer-valued discrete distributions.
AlternativeHypothesis	Represents an alternative hypothesis for a hypothesis test.
Arguments	Argument validation methods.
ArgumentUtils	Utilities for argument validation.
ArgumentUtils	Utilities for argument validation.
BaseInterval	Base class representing an Interval.
BaseSignificanceResult	Base implementation for the result of a test for significance.
BetaDistribution	Implementation of the beta distribution.
BigIntegerStatisticResult	Represents the BigInteger result of a statistic computed over a set of values.
BinomialConfidenceInterval	Generate confidence intervals for a binomial proportion.
BinomialDistribution	Implementation of the binomial distribution.
BinomialTest	Implements binomial test statistics.
BracketFinder	Provide an interval that brackets a local minimum of a function.
BrentOptimizer	For a function defined on some interval (lo, hi), this class finds an approximation x to the point at which the function attains its minimum.
BrentOptimizer.PointValuePair	This class holds a point and the value of an objective function at this point.
CauchyDistribution	Implementation of the Cauchy distribution.
ChiSquaredDistribution	Implementation of the chi-squared distribution.
ChiSquareTest	Implements chi-square test statistics.
Constants	Constants for distribution calculations.
ContinuityCorrection	Represents an optional adjustment that is made when a discrete distribution is approximated by a continuous distribution.
ContinuousDistribution	Interface for distributions on the reals.
ContinuousDistribution.Sampler	Distribution sampling functionality.
DataDispersion	Represents an assumption on the dispersion of data.
DiscreteDistribution	Interface for distributions on the integers.
DiscreteDistribution.Sampler	Distribution sampling functionality.
DistributionException	Package private exception class with constants for frequently used messages.
DoubleStatistic	Represents a state object for computing a statistic over double valued input(s).
DoubleStatistics	Statistics for double values.
DoubleStatistics.Builder	A builder for DoubleStatistics.
ExponentialDistribution	Implementation of the exponential distribution.
ExtendedPrecision	Computes extended precision floating-point operations.
FDistribution	Implementation of the F-distribution.
FirstMoment	Computes the first moment (arithmetic mean) using the definitional formula:
FisherExactTest	Implements Fisher's exact test.
FoldedNormalDistribution	Implementation of the folded normal distribution.
FoldedNormalDistribution.HalfNormalDistribution	Specialisation for the half-normal distribution.
FoldedNormalDistribution.RegularFoldedNormalDistribution	Regular implementation of the folded normal distribution.
GammaDistribution	Implementation of the gamma distribution.
GeometricDistribution	Implementation of the geometric distribution.
GeometricMean	Computes the geometric mean of the available values.
GTest	Implements G-test (Generalized Log-Likelihood Ratio Test) statistics.
GumbelDistribution	Implementation of the Gumbel distribution.
Hypergeom	Provide a wrapper around the HypergeometricDistribution that caches all probability mass values.
HypergeometricDistribution	Implementation of the hypergeometric distribution.
Inequality	Represents a non-equal comparison between two numbers.
InferenceException	Package private exception class with constants for frequently used messages.
Int128	A mutable 128-bit signed integer.
Interpolation	Support class for interpolation.
Interval	Interface representing an interval.
IntMath	Support class for integer math.
IntMax	Returns the maximum of the available values.
IntMean	Computes the arithmetic mean of the available values.
IntMin	Returns the minimum of the available values.
IntStandardDeviation	Computes the standard deviation of the available values.
IntStatistic	Represents a state object for computing a statistic over int valued input(s).
IntStatisticResult	Represents the int result of a statistic computed over a set of values.
IntStatistics	Statistics for int values.
IntStatistics.Builder	A builder for IntStatistics.
IntSum	Returns the sum of the available values.
IntSumOfSquares	Returns the sum of the squares of the available values.
IntVariance	Computes the variance of the available values.
KolmogorovSmirnovDistribution	Computes the complementary probability for the one-sample Kolmogorov-Smirnov distribution.
KolmogorovSmirnovDistribution.One	Computes the complementary probability P[D_n^+ >= x] for the one-sided one-sample Kolmogorov-Smirnov distribution.
KolmogorovSmirnovDistribution.One.ScaledPower	Defines a scaled power function.
KolmogorovSmirnovDistribution.Two	Computes the complementary probability P[D_n >= x], or survival function (SF), for the two-sided one-sample Kolmogorov-Smirnov distribution.
KolmogorovSmirnovTest	Implements the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
KolmogorovSmirnovTest.OneResult	Result for the one-sample Kolmogorov-Smirnov test.
KolmogorovSmirnovTest.TwoResult	Result for the two-sample Kolmogorov-Smirnov test.
Kurtosis	Computes the kurtosis of the available values.
LaplaceDistribution	Implementation of the Laplace distribution.
LevyDistribution	Implementation of the Lévy distribution.
LogisticDistribution	Implementation of the logistic distribution.
LogNormalDistribution	Implementation of the log-normal distribution.
LogUniformDistribution	Implementation of the log-uniform distribution.
LongMax	Returns the maximum of the available values.
LongMean	Computes the arithmetic mean of the available values.
LongMin	Returns the minimum of the available values.
LongStandardDeviation	Computes the standard deviation of the available values.
LongStatistic	Represents a state object for computing a statistic over long valued input(s).
LongStatisticResult	Represents the long result of a statistic computed over a set of values.
LongStatistics	Statistics for long values.
LongStatistics.Builder	A builder for LongStatistics.
LongSum	Returns the sum of the available values.
LongSumOfSquares	Returns the sum of the squares of the available values.
LongVariance	Computes the variance of the available values.
MannWhitneyUTest	Implements the Mann-Whitney U test (also called Wilcoxon rank-sum test).
MannWhitneyUTest.Result	Result for the Mann-Whitney U test.
Max	Returns the maximum of the available values.
Mean	Computes the arithmetic mean of the available values.
Median	Returns the median of the available values.
Min	Returns the minimum of the available values.
NakagamiDistribution	Implementation of the Nakagami distribution.
NaNPolicy	Defines the policy for NaN values found in data.
NaNStrategy	Strategies for handling NaN values in rank transformations.
NaNTransformer	Defines a transformer for NaN values in arrays.
NaNTransformers	Support for creating NaNTransformer implementations.
NaNTransformers.ErrorNaNTransformer	A transformer that errors on NaN.
NaNTransformers.ExcludeNaNTransformer	A transformer that moves NaN to the upper end of the array.
NaNTransformers.IncludeNaNTransformer	A NaN transformer that optionally copies the data.
NaturalRanking	Ranking based on the natural ordering on floating-point values.
NaturalRanking.DataPosition	Represents the position of a double value in a data array.
NaturalRanking.IntList	An expandable list of int values.
NormalConfidenceInterval	Generate confidence intervals for a normally distributed population.
NormalDistribution	Implementation of the normal (Gaussian) distribution.
OneWayAnova	Implements one-way ANOVA (analysis of variance) statistics.
OneWayAnova.Result	Result for the one-way ANOVA.
ParetoDistribution	Implementation of the Pareto (Type I) distribution.
PascalDistribution	Implementation of the Pascal distribution.
PoissonDistribution	Implementation of the Poisson distribution.
Product	Returns the product of the available values.
PValueMethod	Represents a method for computing a p-value for a test statistic.
Quantile	Provides quantile computation.
Quantile.EstimationMethod	Estimation methods for a quantile.
RangeBiFunction<T,U,R>	Represents a function that accepts two objects and a range and produces a result.
RangeFunction<T,R>	Represents a function that accepts an object and a range and produces a result.
RankingAlgorithm	Interface representing a rank transformation.
SaddlePointExpansionUtils	Utility class used by various distributions to accurately compute their respective probability mass functions.
Searches	Search utility methods.
SignificanceResult	Contains the result of a test for significance.
Skewness	Computes the skewness of the available values.
SquareMatrixSupport	Provide support for square matrix basic algebraic operations.
SquareMatrixSupport.ArrayRealSquareMatrix	Implementation of SquareMatrixSupport.RealSquareMatrix using a double[] array to store entries.
SquareMatrixSupport.RealSquareMatrix	Define a real-valued square matrix.
StandardDeviation	Computes the standard deviation of the available values.
Statistic	A statistic that can be computed on univariate data, for example a stream of double values.
StatisticAccumulator<T extends StatisticResult>	A mutable result container that accumulates a StatisticResult.
StatisticResult	Represents the result of a statistic computed over a set of values.
Statistics	Utility methods for statistics.
StatisticsConfiguration	Configuration for computation of statistics.
StatisticUtils	Utility computation methods.
Sum	Returns the sum of the available values.
SumOfCubedDeviations	Computes the sum of cubed deviations from the sample mean.
SumOfFourthDeviations	Computes the sum of fourth deviations from the sample mean.
SumOfLogs	Returns the sum of the natural logarithm of available values.
SumOfSquaredDeviations	Computes the sum of squared deviations from the sample mean.
SumOfSquares	Returns the sum of the squares of the available values.
TDistribution	Implementation of Student's t-distribution.
TDistribution.NormalTDistribution	Specialisation of the T-distribution used when there are infinite degrees of freedom.
TDistribution.StudentsTDistribution	Implementation of Student's T-distribution.
TiesStrategy	Strategies for handling tied values in rank transformations.
TrapezoidalDistribution	Implementation of the trapezoidal distribution.
TrapezoidalDistribution.DelegatedTrapezoidalDistribution	Specialisation of the trapezoidal distribution used when the distribution simplifies to an alternative distribution.
TrapezoidalDistribution.RegularTrapezoidalDistribution	Regular implementation of the trapezoidal distribution.
TrapezoidalDistribution.TriangularTrapezoidalDistribution	Specialisation of the trapezoidal distribution used when b == c.
TrapezoidalDistribution.UniformTrapezoidalDistribution	Specialisation of the trapezoidal distribution used when a == b and c == d.
TriangularDistribution	Implementation of the triangular distribution.
TruncatedNormalDistribution	Implementation of the truncated normal distribution.
TTest	Implements Student's t-test statistics.
TTest.Result	Result for the t-test.
UInt128	A mutable 128-bit unsigned integer.
UInt192	A mutable 192-bit unsigned integer.
UInt96	A mutable 96-bit unsigned integer.
UnconditionedExactTest	Implements an unconditioned exact test for a contingency table.
UnconditionedExactTest.BoschlooStatistic	Compute the statistic for Boschloo's test.
UnconditionedExactTest.Candidates	A container of (key,value) pairs to store candidate minima.
UnconditionedExactTest.Method	Define the method to determine the more extreme tables.
UnconditionedExactTest.Result	Result for the unconditioned exact test.
UnconditionedExactTest.XYList	An expandable list of (x,y) values.
UniformContinuousDistribution	Implementation of the uniform distribution.
UniformDiscreteDistribution	Implementation of the uniform discrete distribution.
Variance	Computes the variance of the available values.
WeibullDistribution	Implementation of the Weibull distribution.
WilcoxonSignedRankTest	Implements the Wilcoxon signed-rank test.
WilcoxonSignedRankTest.Result	Result for the Wilcoxon signed-rank test.
ZipfDistribution	Implementation of the Zipf distribution.