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

Logit.Parametric()

Method Summary

double[]	gradient(double x, double... param) Computes the value of the gradient at x.
private void	validateParameters(double[] param) Validates parameters to ensure they are appropriate for the evaluation of the value(double,double[]) and gradient(double,double[]) methods.
double	value(double x, double... param) Computes the value of the logit at x.

Methods inherited from class java.lang.Object

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

Constructor Detail

Logit.Parametric

public Logit.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.

validateParameters

private void validateParameters(double[] param)
                         throws NullArgumentException,
                                DimensionMismatchException

Validates parameters to ensure they are appropriate for the evaluation of the value(double,double[]) and gradient(double,double[]) methods.

Parameters:

param - Values for lower and higher bounds.

Throws:

NullArgumentException - if param is null.

DimensionMismatchException - if the size of param is not 2.