Package io.github.ai4ci.util

Class Sampler

java.lang.Object

io.github.ai4ci.util.Sampler

All Implemented Interfaces:

org.apache.commons.rng.UniformRandomProvider

public class Sampler
extends Object
implements org.apache.commons.rng.UniformRandomProvider

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	Sampler.OutOfRangeException

Method Summary

Modifier and Type	Method	Description
boolean	bern(double jointDetect)
<X> Optional<X>	bern(Double p, X value)
double	beta(double mean, double sd, boolean convex)	A Beta distribution.
int	binom(double mean, double sd)
int	binom(int count, double probability)
double	gamma(double mean)
double	gamma(double mean, double sd)
static Sampler	getSampler()
static Sampler	getSampler(String urn)
double	logitNormal(double median, double scale)
double	logNormal(double mean, double sd)
final <X> Optional<X>	multinom(org.apache.commons.lang3.tuple.Pair<Double,X>... probabilities)
int	negBinom(double mean, double sd)
long	nextLong()
double	normal(double mean, double sd)
boolean	periodTrigger(double period)
boolean	periodTrigger(double period, double quantile)
int	poisson(double mean)
boolean	rateTrigger(double rate)
double	sample(SimpleDistribution dist)
int	sampleInt(SimpleDistribution dist)
double	uniform()
double	uniform(double min, double max)
Sampler	withSeed(String urn)
int	zeroInflatedPoisson(double probabilityZero, double poissonMean)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.commons.rng.UniformRandomProvider

doubles, doubles, doubles, doubles, ints, ints, ints, ints, longs, longs, longs, longs, nextBoolean, nextBytes, nextBytes, nextDouble, nextDouble, nextDouble, nextFloat, nextFloat, nextFloat, nextInt, nextInt, nextInt, nextLong, nextLong

Method Details

getSampler

public static Sampler getSampler()

getSampler

public static Sampler getSampler(String urn)

withSeed

public Sampler withSeed(String urn)

uniform

public double uniform()

normal

public double normal(double mean,
 double sd)

logNormal

public double logNormal(double mean,
 double sd)

logitNormal

public double logitNormal(double median,
 double scale)

poisson

public int poisson(double mean)

zeroInflatedPoisson

public int zeroInflatedPoisson(double probabilityZero,
 double poissonMean)

negBinom

public int negBinom(double mean,
 double sd)

binom

public int binom(int count,
 double probability)

binom

public int binom(double mean,
 double sd)

gamma

public double gamma(double mean)

beta

public double beta(double mean,
 double sd,
 boolean convex)

A Beta distribution.

Parameters:

mean - the mean (must be between 0 and 1)

sd - the SD, or if convex is true the fraction of the maximum SD consistent with a unimodal beta distribution. possible for a convex Beta

gamma

public double gamma(double mean,
 double sd)

nextLong

public long nextLong()

Specified by:

nextLong in interface org.apache.commons.rng.UniformRandomProvider

bern

public boolean bern(double jointDetect)

rateTrigger

public boolean rateTrigger(double rate)

periodTrigger

public boolean periodTrigger(double period)

periodTrigger

public boolean periodTrigger(double period,
 double quantile)

sample

public double sample(SimpleDistribution dist)

sampleInt

public int sampleInt(SimpleDistribution dist)

multinom

@SafeVarargs
public final <X> Optional<X> multinom(org.apache.commons.lang3.tuple.Pair<Double,X>... probabilities)

bern

public <X> Optional<X> bern(Double p,
 X value)

uniform

public double uniform(double min,
 double max)