Uses of Package
org.apache.commons.rng.sampling.distribution

Packages that use org.apache.commons.rng.sampling.distribution

Package	Description
org.apache.commons.rng.sampling	This package provides sampling utilities.
org.apache.commons.rng.sampling.distribution	This package contains classes for sampling from statistical distributions.

Classes in org.apache.commons.rng.sampling.distribution used by org.apache.commons.rng.sampling

Class	Description
ContinuousSampler	Sampler that generates values of type double.
DiscreteSampler	Sampler that generates values of type int.
LongSampler	Sampler that generates values of type long.
SharedStateContinuousSampler	Sampler that generates values of type double and can create new instances to sample from the same state with a given source of randomness.
SharedStateDiscreteSampler	Sampler that generates values of type int and can create new instances to sample from the same state with a given source of randomness.
SharedStateLongSampler	Sampler that generates values of type long and can create new instances to sample from the same state with a given source of randomness.

Classes in org.apache.commons.rng.sampling.distribution used by org.apache.commons.rng.sampling.distribution

Class	Description
ContinuousInverseCumulativeProbabilityFunction	Interface for a continuous distribution that can be sampled using the inversion method.
ContinuousSampler	Sampler that generates values of type double.
DirichletSampler	Sampling from a Dirichlet distribution.
DiscreteInverseCumulativeProbabilityFunction	Interface for a discrete distribution that can be sampled using the inversion method.
DiscreteSampler	Sampler that generates values of type int.
FastLoadedDiceRollerDiscreteSampler	Distribution sampler that uses the Fast Loaded Dice Roller (FLDR).
LevySampler	Sampling from a Lévy distribution.
LongSampler	Sampler that generates values of type long.
NormalizedGaussianSampler	Marker interface for a sampler that generates values from an N(0,1) Gaussian distribution.
PoissonSamplerCache	Create a sampler for the Poisson distribution using a cache to minimise construction cost.
SamplerBase	Deprecated. Since version 1.1.
SharedStateContinuousSampler	Sampler that generates values of type double and can create new instances to sample from the same state with a given source of randomness.
SharedStateDiscreteSampler	Sampler that generates values of type int and can create new instances to sample from the same state with a given source of randomness.
SharedStateLongSampler	Sampler that generates values of type long and can create new instances to sample from the same state with a given source of randomness.
StableSampler	Samples from a stable distribution.
TSampler	Sampling from a T distribution.
UniformLongSampler	Discrete uniform distribution sampler generating values of type long.
ZigguratSampler	Modified ziggurat method for sampling from Gaussian and exponential distributions.
ZigguratSampler.Exponential	Modified ziggurat method for sampling from an exponential distribution.
ZigguratSampler.NormalizedGaussian	Modified ziggurat method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.