repicea.stats.model.glm

Class LikelihoodGLM

java.lang.Object

repicea.math.AbstractMathematicalFunction

repicea.math.AbstractMathematicalFunctionWrapper

repicea.stats.model.IndividualLikelihood

repicea.stats.model.glm.LikelihoodGLM

All Implemented Interfaces:

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

public class LikelihoodGLM
extends IndividualLikelihood

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected LinkFunction	linkFunction

Fields inherited from class repicea.stats.model.IndividualLikelihood

observedValues

Fields inherited from class repicea.math.AbstractMathematicalFunction

parameterBounds

Constructor Summary

Constructors

Constructor and Description
LikelihoodGLM(LinkFunction linkFunction)

Method Summary

Modifier and Type	Method and Description
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.
Matrix	getPredictionVector() This method returns the prediction associated with the observation.
java.lang.Double	getValue() This method provides the result of the function evaluation.

Methods inherited from class repicea.stats.model.IndividualLikelihood

getYVector, setYVector

Methods inherited from class repicea.math.AbstractMathematicalFunctionWrapper

getBeta, getNumberOfParameters, getNumberOfVariables, getOriginalFunction, 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

Field Detail

linkFunction

protected final LinkFunction linkFunction

Constructor Detail

LikelihoodGLM

public LikelihoodGLM(LinkFunction linkFunction)

Method Detail

getPredictionVector

public Matrix getPredictionVector()

Description copied from interface: LikelihoodCompatible

This method returns the prediction associated with the observation.

Specified by:

getPredictionVector in interface LikelihoodCompatible

Specified by:

getPredictionVector in class IndividualLikelihood

Returns:

a Matrix 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