repicea.stats.model

Class CompositeLogLikelihood

java.lang.Object

repicea.math.AbstractMathematicalFunction

repicea.math.AbstractMathematicalFunctionWrapper

repicea.stats.model.CompositeLogLikelihood

All Implemented Interfaces:

java.io.Serializable, DerivableMathematicalFunction, EvaluableFunction<java.lang.Double>

Direct Known Subclasses:

FGMCompositeLogLikelihood

public class CompositeLogLikelihood
extends AbstractMathematicalFunctionWrapper

See Also:

Serialized Form

Field Summary

Fields inherited from class repicea.math.AbstractMathematicalFunction

parameterBounds

Constructor Summary

Constructors

Constructor and Description
CompositeLogLikelihood(IndividualLogLikelihood innerLogLikelihoodFunction, Matrix xValues, Matrix yValues)

Method Summary

Modifier and Type	Method and Description
Matrix	getBeta() This method returns the vector of parameters.
Matrix	getGradient() This method returns a vector that contains the first derivatives of the function with respect to its parameters.
Matrix	getHessian() This method returns a matrix that contains the second derivatives of the function with respect to its parameters.
IndividualLogLikelihood	getOriginalFunction() This method returns the original function.
Matrix	getPredictions() This method returns all the predicted values.
java.lang.Double	getValue() This method provides the result of the function evaluation.
void	setBeta(Matrix beta) This method sets the vector of parameters.
protected void	setValuesInLikelihoodFunction(int index)

Methods inherited from class repicea.math.AbstractMathematicalFunctionWrapper

getNumberOfParameters, getNumberOfVariables, getParameterValue, getVariableValue, setBounds, setParameterValue, setVariableValue, setX

Methods inherited from class java.lang.Object

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

Constructor Detail

CompositeLogLikelihood

public CompositeLogLikelihood(IndividualLogLikelihood innerLogLikelihoodFunction,
                              Matrix xValues,
                              Matrix yValues)

Method Detail

getOriginalFunction

public IndividualLogLikelihood getOriginalFunction()

Description copied from class: AbstractMathematicalFunctionWrapper

This method returns the original function.

Overrides:

getOriginalFunction in class AbstractMathematicalFunctionWrapper

Returns:

an AbstractMathematicalFunction instance

getValue

public java.lang.Double getValue()

Description copied from interface: EvaluableFunction

This method provides the result of the function evaluation.

Specified by:

getValue in interface EvaluableFunction<java.lang.Double>

Specified by:

getValue in class AbstractMathematicalFunctionWrapper

Returns:

a P instance

getGradient

public Matrix getGradient()

Description copied from interface: DerivableMathematicalFunction

This method returns a vector that contains the first derivatives of the function with respect to its parameters.

Specified by:

getGradient in interface DerivableMathematicalFunction

Specified by:

getGradient in class AbstractMathematicalFunctionWrapper

Returns:

a Matrix instance

getHessian

public Matrix getHessian()

Description copied from interface: DerivableMathematicalFunction

This method returns a matrix that contains the second derivatives of the function with respect to its parameters.

Specified by:

getHessian in interface DerivableMathematicalFunction

Specified by:

getHessian in class AbstractMathematicalFunctionWrapper

Returns:

a Matrix instance

setValuesInLikelihoodFunction

protected void setValuesInLikelihoodFunction(int index)

getPredictions

public Matrix getPredictions()

This method returns all the predicted values.

Returns:

a Matrix instance

setBeta

public void setBeta(Matrix beta)

Description copied from class: AbstractMathematicalFunction

This method sets the vector of parameters. The method essentially relies on the setParameterValue() of the AbstractMathematicalFunction class.

Overrides:

setBeta in class AbstractMathematicalFunctionWrapper

Parameters:

beta - a Matrix instance

getBeta

public Matrix getBeta()

Description copied from class: AbstractMathematicalFunction

This method returns the vector of parameters.

Overrides:

getBeta in class AbstractMathematicalFunctionWrapper

Returns:

a Matrix instance