org.apache.commons.math3.analysis.function

Class Logit.Parametric

java.lang.Object

org.apache.commons.math3.analysis.function.Logit.Parametric

All Implemented Interfaces:

ParametricUnivariateFunction

Enclosing class:

Logit

public static class Logit.Parametric
extends Object
implements ParametricUnivariateFunction

Parametric function where the input array contains the parameters of the logit function, ordered as follows:

• Lower bound
• Higher bound

Constructor Summary

Constructors

Constructor and Description
Parametric()

Method Summary

Modifier and Type	Method and Description
double[]	gradient(double x, double... param) Computes the value of the gradient at x.
double	value(double x, double... param) Computes the value of the logit at x.

Methods inherited from class java.lang.Object

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

Constructor Detail

Parametric

public Parametric()

Method Detail

value

public double value(double x,
                    double... param)
             throws NullArgumentException,
                    DimensionMismatchException

Computes the value of the logit at x.

Specified by:

value in interface ParametricUnivariateFunction

Parameters:

x - Value for which the function must be computed.

param - Values of lower bound and higher bounds.

Returns:

the value of the function.

Throws:

NullArgumentException - if param is null.

DimensionMismatchException - if the size of param is not 2.

gradient

public double[] gradient(double x,
                         double... param)
                  throws NullArgumentException,
                         DimensionMismatchException

Computes the value of the gradient at x. The components of the gradient vector are the partial derivatives of the function with respect to each of the parameters (lower bound and higher bound).

Specified by:

gradient in interface ParametricUnivariateFunction

Parameters:

x - Value at which the gradient must be computed.

param - Values for lower and higher bounds.

Returns:

the gradient vector at x.

Throws:

NullArgumentException - if param is null.

DimensionMismatchException - if the size of param is not 2.