Package jdistlib

Class BetaBinomial

java.lang.Object

jdistlib.generic.GenericDistribution

jdistlib.BetaBinomial

public class BetaBinomial
extends GenericDistribution

Beta binomial distribution, taken from gamlss.dist package, plus some underflow guard. Parameterization: mu, sigma, bd.

Field Summary

Fields

Modifier and Type	Field	Description
protected int	bd
protected double	mu
protected double	sigma

Fields inherited from class jdistlib.generic.GenericDistribution

random

Constructor Summary

Constructors

Constructor	Description
BetaBinomial(double mu, double sigma, int bd)

Method Summary

Modifier and Type	Method	Description
double	cumulative(double p, boolean lower_tail, boolean log_p)
static final double	cumulative(double q, double mu, double sigma, double bd, boolean lower_tail, boolean log_p)	Cumulative.
double	density(double x, boolean log)
static final double	density(double x, double mu, double sigma, double bd, boolean give_log)	Density
double	quantile(double q, boolean lower_tail, boolean log_p)
static final double	quantile(double p, double mu, double sigma, double bd, boolean lower_tail, boolean log_p)	Quantile.
double	random()
static final double	random(double mu, double sigma, double bd, RandomEngine random)	Random variate
static final double[]	random(int n, double mu, double sigma, double bd, RandomEngine random)

Methods inherited from class jdistlib.generic.GenericDistribution

copyBackward, cumulative, cumulative, cumulative, cumulative_hazard, cumulative_hazard, cumulativeInto, density, density, densityInto, getRandomEngine, hazard, hazard, inverse_survival, inverse_survival, quantile, quantile, quantile, quantileInto, random, random, randomInto, setRandomEngine, survival, survival, survival

Methods inherited from class java.lang.Object

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

Field Details

mu

protected double mu

sigma

protected double sigma

bd

protected int bd

Constructor Details

BetaBinomial

public BetaBinomial(double mu,
 double sigma,
 int bd)

Method Details

density

public static final double density(double x,
 double mu,
 double sigma,
 double bd,
 boolean give_log)

Density

Parameters:

x - MUST be an integer!

mu - MUST be between 0 and 1

sigma - MUST be > 0

bd - MUST be an integer!

give_log -

Returns:

density

cumulative

public static final double cumulative(double q,
 double mu,
 double sigma,
 double bd,
 boolean lower_tail,
 boolean log_p)

Cumulative. Computed by manual summation. SLOW!

Parameters:

q - MUST be an integer!

mu - MUST be between 0 and 1

sigma - MUST be > 0

bd - MUST be an integer!

lower_tail -

log_p -

Returns:

cumulative

quantile

public static final double quantile(double p,
 double mu,
 double sigma,
 double bd,
 boolean lower_tail,
 boolean log_p)

Quantile. Computed by manual density check. SLOW!

Parameters:

p - MUST be between 0 and 1

mu - MUST be between 0 and 1

sigma - MUST be > 0

bd - MUST be an integer!

lower_tail -

log_p -

Returns:

quantile

random

public static final double random(double mu,
 double sigma,
 double bd,
 RandomEngine random)

Random variate

Parameters:

mu - MUST be between 0 and 1

sigma - MUST be > 0

bd - MUST be an integer!

random -

Returns:

random variate

random

public static final double[] random(int n,
 double mu,
 double sigma,
 double bd,
 RandomEngine random)

density

public double density(double x,
 boolean log)

Specified by:

density in class GenericDistribution

cumulative

public double cumulative(double p,
 boolean lower_tail,
 boolean log_p)

Specified by:

cumulative in class GenericDistribution

quantile

public double quantile(double q,
 boolean lower_tail,
 boolean log_p)

Specified by:

quantile in class GenericDistribution

random

public double random()

Specified by:

random in class GenericDistribution