lerfob.predictor.mathilde

Class MathildeSubModule

java.lang.Object

repicea.simulation.SensitivityAnalysisParameter<ModelParameterEstimates>

repicea.simulation.REpiceaPredictor

lerfob.predictor.mathilde.MathildeSubModule

All Implemented Interfaces:

java.io.Serializable

public abstract class MathildeSubModule
extends REpiceaPredictor

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class repicea.simulation.REpiceaPredictor

REpiceaPredictor.CruiseLine, REpiceaPredictor.ErrorTermGroup, REpiceaPredictor.IntervalNestedInPlotDefinition

Field Summary

Fields inherited from class repicea.simulation.REpiceaPredictor

DefaultZeroIndex, isRandomEffectsVariabilityEnabled, isResidualVariabilityEnabled, listeners, oXVector

Fields inherited from class repicea.simulation.SensitivityAnalysisParameter

isParametersVariabilityEnabled

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	MathildeSubModule(boolean isParametersVariabilityEnabled, boolean isRandomEffectVariabilityEnabled, boolean isResidualVariabilityEnabled)

Method Summary

Modifier and Type	Method and Description
Estimate<? extends StandardGaussianDistribution>	getBlupsForThisSubject(MonteCarloSimulationCompliantObject subject) This method returns the blups for the subject or nothing if there is no blups for this subject
Estimate<? extends StandardGaussianDistribution>	getDefaultRandomEffects(HierarchicalLevel level)
GaussianErrorTermEstimate	getDefaultResidualError(java.lang.Enum<?> enumVar)
Matrix	getParameters(MonteCarloSimulationCompliantObject stand)
Matrix	getRandomEffects(MonteCarloSimulationCompliantObject subject)
Matrix	getResidualErrorForThisVersion()
void	init() This method reads all the parameters in .csv files and stores the estimates into members defaultBeta, defaultResidualError, and defaultRandomEffects.
void	setDefaultRandomEffects(HierarchicalLevel level, Estimate<? extends StandardGaussianDistribution> estimate)
void	setDefaultResidualError(java.lang.Enum<?> enumVar, GaussianErrorTermEstimate estimate)
void	setParameterEstimates(ModelParameterEstimates betaEstimate)
Matrix	simulateDeviatesForRandomEffectsOfThisSubject(MonteCarloSimulationCompliantObject subject, Estimate<?> randomEffectsEstimate) This method simulates random deviates from an estimate and stores them in the simulatedRandomEffects member.

Methods inherited from class repicea.simulation.REpiceaPredictor

addModelBasedSimulatorListener, doBlupsExistForThisSubject, doesThisSubjectHaveResidualErrorTerm, doRandomDeviatesExistForThisSubject, fireModelBasedSimulatorEvent, fireRandomEffectDeviateGeneratedEvent, getCruiseLineForThisSubject, getDefaultRandomEffects, getGaussianErrorTerms, getIntervalNestedInPlotDefinition, getParametersForThisRealization, getRandomEffectsForThisSubject, getResidualError, getResidualErrorForThisSubject, getSubjectPlusMonteCarloSpecificId, getSubjectPlusMonteCarloSpecificId, hasSubjectBeenTestedForBlups, recordSubjectTestedForBlups, removeModelBasedSimulatorListener, setBlupsForThisSubject, setDeviatesForRandomEffectsOfThisSubject

Methods inherited from class repicea.simulation.SensitivityAnalysisParameter

getParameterEstimates

Methods inherited from class java.lang.Object

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

Constructor Detail

MathildeSubModule

protected MathildeSubModule(boolean isParametersVariabilityEnabled,
                            boolean isRandomEffectVariabilityEnabled,
                            boolean isResidualVariabilityEnabled)

Method Detail

setParameterEstimates

public void setParameterEstimates(ModelParameterEstimates betaEstimate)

Overrides:

setParameterEstimates in class REpiceaPredictor

setDefaultRandomEffects

public void setDefaultRandomEffects(HierarchicalLevel level,
                                    Estimate<? extends StandardGaussianDistribution> estimate)

Overrides:

setDefaultRandomEffects in class REpiceaPredictor

getParameters

public Matrix getParameters(MonteCarloSimulationCompliantObject stand)

getRandomEffects

public Matrix getRandomEffects(MonteCarloSimulationCompliantObject subject)

getDefaultRandomEffects

public Estimate<? extends StandardGaussianDistribution> getDefaultRandomEffects(HierarchicalLevel level)

Overrides:

getDefaultRandomEffects in class REpiceaPredictor

setDefaultResidualError

public void setDefaultResidualError(java.lang.Enum<?> enumVar,
                                    GaussianErrorTermEstimate estimate)

Overrides:

setDefaultResidualError in class REpiceaPredictor

getDefaultResidualError

public GaussianErrorTermEstimate getDefaultResidualError(java.lang.Enum<?> enumVar)

Overrides:

getDefaultResidualError in class REpiceaPredictor

getResidualErrorForThisVersion

public Matrix getResidualErrorForThisVersion()

getBlupsForThisSubject

public Estimate<? extends StandardGaussianDistribution> getBlupsForThisSubject(MonteCarloSimulationCompliantObject subject)

Description copied from class: REpiceaPredictor

This method returns the blups for the subject or nothing if there is no blups for this subject

Overrides:

getBlupsForThisSubject in class REpiceaPredictor

Parameters:

subject - a MonteCarloSimulationCompliantObject instance

Returns:

an Estimate instance or null

init

public final void init()

Description copied from class: REpiceaPredictor

This method reads all the parameters in .csv files and stores the estimates into members defaultBeta, defaultResidualError, and defaultRandomEffects.

Specified by:

init in class REpiceaPredictor

simulateDeviatesForRandomEffectsOfThisSubject

public Matrix simulateDeviatesForRandomEffectsOfThisSubject(MonteCarloSimulationCompliantObject subject,
                                                            Estimate<?> randomEffectsEstimate)

Description copied from class: REpiceaPredictor

This method simulates random deviates from an estimate and stores them in the simulatedRandomEffects member.

Overrides:

simulateDeviatesForRandomEffectsOfThisSubject in class REpiceaPredictor

Parameters:

subject - a MonteCarloSimulationCompliantObject instance

randomEffectsEstimate - the estimate from which the random deviates are generated

Returns:

the random deviates as a Matrix instance (a copy of it)