Package dev.nm.analysis.function.special.gamma

Class GammaRegularizedP

java.lang.Object

dev.nm.analysis.function.rn2r1.AbstractRealScalarFunction

dev.nm.analysis.function.rn2r1.AbstractBivariateRealFunction

dev.nm.analysis.function.special.gamma.GammaRegularizedP

All Implemented Interfaces:

Function<Vector,Double>, BivariateRealFunction, RealScalarFunction

public class GammaRegularizedP
extends AbstractBivariateRealFunction

The Regularized Incomplete Gamma P function is defined as: \[ P(s,x) = \frac{\gamma(s,x)}{\Gamma(s)} = 1 - Q(s,x), s \geq 0, x \geq 0 \]

The R equivalent function is pgamma. E.g., pgamma(x, s, lower=TRUE).

See Also:

• Wikipedia: Regularized Gamma functions and Poisson random variables

Nested Class Summary

Nested classes/interfaces inherited from interface dev.nm.analysis.function.Function

Function.EvaluationException

Constructor Summary

Constructors

Constructor	Description
GammaRegularizedP()

Method Summary

Modifier and Type	Method	Description
double	evaluate(double s, double x)	Evaluate P(s,x).

Methods inherited from class dev.nm.analysis.function.rn2r1.AbstractBivariateRealFunction

evaluate

Methods inherited from class dev.nm.analysis.function.rn2r1.AbstractRealScalarFunction

dimensionOfDomain, dimensionOfRange

Methods inherited from class java.lang.Object

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

Methods inherited from interface dev.nm.analysis.function.Function

dimensionOfDomain, dimensionOfRange

Constructor Details

GammaRegularizedP

public GammaRegularizedP()

Method Details

evaluate

public double evaluate(double s,
 double x)

Evaluate P(s,x).

Parameters:

s - s ≥ 0

x - x ≥ 0

Returns:

P(s,x)