ContinuousSampler, SharedStateContinuousSampler, SharedStateSampler<SharedStateContinuousSampler>public class ChengBetaSampler extends SamplerBase implements SharedStateContinuousSampler
Uses Cheng's algorithms for beta distribution sampling:
R. C. H. Cheng, "Generating beta variates with nonintegral shape parameters", Communications of the ACM, 21, 317-322, 1978.
Sampling uses UniformRandomProvider.nextDouble().
| Constructor | Description |
|---|---|
ChengBetaSampler(org.apache.commons.rng.UniformRandomProvider rng,
double alpha,
double beta) |
Creates a sampler instance.
|
| Modifier and Type | Method | Description |
|---|---|---|
static SharedStateContinuousSampler |
of(org.apache.commons.rng.UniformRandomProvider rng,
double alpha,
double beta) |
Creates a new beta distribution sampler.
|
double |
sample() |
Creates a sample.
|
java.lang.String |
toString() |
|
SharedStateContinuousSampler |
withUniformRandomProvider(org.apache.commons.rng.UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitnextDouble, nextInt, nextInt, nextLongpublic ChengBetaSampler(org.apache.commons.rng.UniformRandomProvider rng, double alpha, double beta)
rng - Generator of uniformly distributed random numbers.alpha - Distribution first shape parameter.beta - Distribution second shape parameter.java.lang.IllegalArgumentException - if alpha <= 0 or beta <= 0public double sample()
sample in interface ContinuousSamplerpublic java.lang.String toString()
toString in class SamplerBasepublic SharedStateContinuousSampler withUniformRandomProvider(org.apache.commons.rng.UniformRandomProvider rng)
withUniformRandomProvider in interface SharedStateSampler<SharedStateContinuousSampler>rng - Generator of uniformly distributed random numbers.public static SharedStateContinuousSampler of(org.apache.commons.rng.UniformRandomProvider rng, double alpha, double beta)
rng - Generator of uniformly distributed random numbers.alpha - Distribution first shape parameter.beta - Distribution second shape parameter.java.lang.IllegalArgumentException - if alpha <= 0 or beta <= 0Copyright © 2016–2019 The Apache Software Foundation. All rights reserved.