org.apache.commons.math4.analysis.function

## Class 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

All Methods
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

clone, equals, finalize, 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.

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.