repicea.stats.model

Class IndividualLogLikelihood

java.lang.Object

repicea.math.AbstractMathematicalFunction

repicea.math.AbstractMathematicalFunctionWrapper

repicea.math.LogFunctionWrapper

repicea.stats.model.IndividualLogLikelihood

All Implemented Interfaces:

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

public class IndividualLogLikelihood
extends LogFunctionWrapper
implements LikelihoodCompatible

The LogLikelihood interface provides the basic services for all LogLikelihood classes. A LogLLikelihood instance must be able to provide its original likelihood function and its derivatives.

See Also:

Serialized Form

Field Summary

Fields inherited from class repicea.math.AbstractMathematicalFunction

parameterBounds

Constructor Summary

Constructors

Constructor and Description
IndividualLogLikelihood(IndividualLikelihood originalFunction)

Method Summary

Modifier and Type	Method and Description
IndividualLikelihood	getOriginalFunction() This method returns the original function.
Matrix	getPredictionVector() This method returns the prediction associated with the observation.
Matrix	getYVector() This method returns the vector of observed values.
void	setYVector(Matrix y) This method sets the vector of observed values.

Methods inherited from class repicea.math.LogFunctionWrapper

getGradient, getHessian, getValue

Methods inherited from class repicea.math.AbstractMathematicalFunctionWrapper

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

Methods inherited from class java.lang.Object

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

Constructor Detail

IndividualLogLikelihood

public IndividualLogLikelihood(IndividualLikelihood originalFunction)

Method Detail

getOriginalFunction

public IndividualLikelihood getOriginalFunction()

Description copied from class: AbstractMathematicalFunctionWrapper

This method returns the original function.

Overrides:

getOriginalFunction in class AbstractMathematicalFunctionWrapper

Returns:

an AbstractMathematicalFunction instance

getPredictionVector

public Matrix getPredictionVector()

Description copied from interface: LikelihoodCompatible

This method returns the prediction associated with the observation.

Specified by:

getPredictionVector in interface LikelihoodCompatible

Returns:

a Matrix instance

setYVector

public void setYVector(Matrix y)

Description copied from interface: LikelihoodCompatible

This method sets the vector of observed values.

Specified by:

setYVector in interface LikelihoodCompatible

Parameters:

y - a row vector (Matrix instance)

getYVector

public Matrix getYVector()

Description copied from interface: LikelihoodCompatible

This method returns the vector of observed values.

Specified by:

getYVector in interface LikelihoodCompatible

Returns:

a Matrix instance