Uses of Class
jdistlib.generic.GenericDistribution

Packages that use GenericDistribution

Package	Description
jdistlib
jdistlib.disttest
jdistlib.evd

Uses of GenericDistribution in jdistlib

Subclasses of GenericDistribution in jdistlib

Modifier and Type	Class and Description
class	Ansari Ansari-Bradley test statistic
class	Arcsine Bounded Arcsine distribution; bounded by [a, b].
class	Beta
class	BetaBinomial Beta binomial distribution, taken from gamlss.dist package, plus some underflow guard.
class	BetaPrime Beta Prime distribution.
class	Binomial
class	Cauchy
class	Chi
class	ChiSquare
class	Exponential
class	F
class	Gamma
class	Geometric
class	HyperGeometric
class	InvGamma
class	InvNormal Inverse normal (or Wald) distribution.
class	Kendall Kendall tau distribution
class	Kumaraswamy Kumaraswamy distribution
class	Laplace Laplace distribution, from VGAM package
class	Logarithmic
class	Logistic
class	LogNormal
class	Nakagami
class	NegBinomial
class	NonCentralBeta
class	NonCentralChiSquare
class	NonCentralF
class	NonCentralT
class	Normal Manually translated from R's Distlib by Roby Joehanes
class	Poisson
class	SignRank
class	Spearman
class	T
class	Tukey Computes the probability and quantile that the maximum of rr studentized ranges, each based on cc means and with df degrees of freedom for the standard error, is less than q.
class	Uniform
class	Weibull
class	Wilcoxon SYNOPSIS #include double dwilcox(double x, double m, double n, int give_log) double pwilcox(double x, double m, double n, int lower_tail, int log_p) double qwilcox(double x, double m, double n, int lower_tail, int log_p); double rwilcox(double m, double n) DESCRIPTION dwilcox The density of the Wilcoxon distribution.
class	Zipf Zipf distribution Parts taken from VGAM

Uses of GenericDistribution in jdistlib.disttest

Methods in jdistlib.disttest with parameters of type GenericDistribution

Modifier and Type	Method and Description
static double[]	DistributionTest.kolmogorov_smirnov_test(double[] X, GenericDistribution dist) Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution, two-sided, exact p-value.
static double[]	DistributionTest.kolmogorov_smirnov_test(double[] X, GenericDistribution dist, boolean isExact) Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution, two-sided.
static double[]	DistributionTest.kolmogorov_smirnov_test(double[] X, GenericDistribution dist, TestKind kind) Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution, exact p-value.
static double[]	DistributionTest.kolmogorov_smirnov_test(double[] X, GenericDistribution dist, TestKind kind, boolean isExact) Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution.

Uses of GenericDistribution in jdistlib.evd

Subclasses of GenericDistribution in jdistlib.evd

Modifier and Type	Class and Description
class	Extreme Extreme distribution.
class	Fretchet Fretchet distribution.
class	GeneralizedPareto Generalized Pareto Distribution Taken from EVD package of R
class	GEV Generalized extreme value distribution.
class	Gumbel Gumbel distribution.
class	Order Order distribution.
class	Rayleigh Rayleigh distribution Taken from VGAM package of R
class	ReverseWeibull Reverse Weibull distribution.

Methods in jdistlib.evd with parameters of type GenericDistribution

Modifier and Type	Method and Description
static double	Extreme.cumulative(double q, GenericDistribution dist, int mlen, boolean largest, boolean lower_tail)
static double	Order.cumulative(double q, GenericDistribution dist, int mlen, int j, boolean largest, boolean lower_tail)
static double	Order.cumulative(double q, GenericDistribution dist, int mlen, int j, boolean largest, boolean lower_tail, boolean log_p)
static double	Extreme.density(double x, GenericDistribution dist, int mlen, boolean largest, boolean log)
static double	Order.density(double x, GenericDistribution dist, int mlen, int j, boolean largest, boolean log)
static double	Extreme.quantile(double p, GenericDistribution dist, int mlen, boolean largest, boolean lower_tail)
static double	Order.quantile(double q, GenericDistribution dist, int mlen, int j, boolean largest, boolean lower_tail, boolean log_p) Find the quantile of order statistics.
static double	Extreme.random(GenericDistribution dist, int mlen, boolean largest, RandomEngine random)
static double	Order.random(GenericDistribution dist, int mlen, int j, boolean largest, RandomEngine random)
static double[]	Extreme.random(int n, GenericDistribution dist, int mlen, boolean largest, RandomEngine random)
static double[]	Order.random(int n, GenericDistribution dist, int mlen, int j, boolean largest, RandomEngine random)

Constructors in jdistlib.evd with parameters of type GenericDistribution

Constructor and Description
Extreme(GenericDistribution dist, int mlen, boolean largest)
Order(GenericDistribution dist, int mlen, int j, boolean largest)