Package | Description |
---|---|
com.mockturtlesolutions.snifflib.datatypes |
Contains standard classes and interfaces for storage, retrieval, and display.
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com.mockturtlesolutions.snifflib.graphics |
Contains standard classes and interfaces for 2D and 3D graphics.
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com.mockturtlesolutions.snifflib.integration |
Contains standard classes and interfaces for performing integration.
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com.mockturtlesolutions.snifflib.invprobs |
Contains standard classes and interfaces for solving statistical inverse problems.
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com.mockturtlesolutions.snifflib.mcmctools.database |
Base classes for the repository storage framework of the mcmctools package.
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com.mockturtlesolutions.snifflib.mcmctools.workbench |
Graphical interface classes for the repository storage framework of the mcmctools package.
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com.mockturtlesolutions.snifflib.pde |
Contains standard classes and interfaces for numerical solution of partial differential equations.
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com.mockturtlesolutions.snifflib.statmodeltools.database |
Base classes for the repository storage framework of the statmodeltools package.
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com.mockturtlesolutions.snifflib.statmodeltools.workbench |
Graphical interface classes for the repository storage framework of the statmodeltools package.
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com.mockturtlesolutions.snifflib.stats |
Contains standard classes and interfaces for statistical storage classes and algorithms.
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com.mockturtlesolutions.snifflib.testfun |
Contains some typical functions useful for testing various algorithms.
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com.mockturtlesolutions.snifflib.util |
Contains some utility classes providing methods of broad applicability.
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com.mockturtlesolutions.snifflib.xppauttools.database |
Base classes for the repository storage framework of xppauttools
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Modifier and Type | Method and Description |
---|---|
static DblParamSet |
DblParamSet.abs(DblParamSet X)
Take absolute value of parameter guesses.
|
DblParamSet |
DblParamSet.copy()
Makes a deep copy of the parameter set.
|
DblParamSet |
DblParamSet.divideBy(DblMatrix X)
Divide parameter set by scalar.
|
DblParamSet |
DblParamSet.divideBy(DblParamSet X)
Divide one parameter set by another parameter set.
|
DblParamSet |
DblParamSet.divideBy(double X)
Divide parameter set by scalar.
|
DblParamSet |
DblParamSet.divideBy(int X)
Divide parameter set by scalar.
|
DblParamSet |
DblParamSet.minus(DblMatrix X)
Subtract scalar from parameter set.
|
DblParamSet |
DblParamSet.minus(DblParamSet X)
Subtract two parameter sets.
|
DblParamSet |
DblParamSet.minus(double X)
Subtract scalar from parameter set.
|
DblParamSet |
DblParamSet.minus(int X)
Subtract scalar from parameter set.
|
DblParamSet |
DblParamSet.plus(DblMatrix X)
Add scalar to a parameter set.
|
DblParamSet |
DblParamSet.plus(DblParamSet X)
Add two parameter sets.
|
DblParamSet |
DblParamSet.plus(double X)
Add scalar to a parameter set.
|
DblParamSet |
DblParamSet.plus(int X)
Add scalar to a parameter set.
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DblParamSet |
DblParamSet.times(DblMatrix X)
Multiply parameter sets by scalar.
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DblParamSet |
DblParamSet.times(DblParamSet X)
Multiply two parameter sets.
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DblParamSet |
DblParamSet.times(double X)
Multiply parameter sets by scalar.
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DblParamSet |
DblParamSet.times(int X)
Multiply parameter sets by scalar.
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Modifier and Type | Method and Description |
---|---|
static DblParamSet |
DblParamSet.abs(DblParamSet X)
Take absolute value of parameter guesses.
|
DblParamSet |
DblParamSet.divideBy(DblParamSet X)
Divide one parameter set by another parameter set.
|
DblParamSet |
DblParamSet.minus(DblParamSet X)
Subtract two parameter sets.
|
DblParamSet |
DblParamSet.plus(DblParamSet X)
Add two parameter sets.
|
void |
DblParamSet.refactorAgainst(DblParamSet P)
Adds the given parameters only if they are not currently declared.
|
void |
DblParamSet.replaceParams(DblParamSet P)
Sets the given parameters.
|
DblParamSet |
DblParamSet.times(DblParamSet X)
Multiply two parameter sets.
|
Modifier and Type | Field and Description |
---|---|
protected DblParamSet |
DefaultReportInstance.params |
Modifier and Type | Method and Description |
---|---|
DblParamSet |
DefaultReportInstance.getParams() |
Modifier and Type | Method and Description |
---|---|
void |
LpregPanel.ResultsTab.InvOptObjective.replaceParams(DblParamSet X) |
void |
FitFrameModel.replaceParams(DblParamSet X) |
void |
DefaultReportInstance.setParams(DblParamSet S) |
Modifier and Type | Field and Description |
---|---|
protected DblParamSet |
BasicODE.Param |
protected DblParamSet |
Ode.Param |
Modifier and Type | Method and Description |
---|---|
void |
BasicODE.replaceParams(DblParamSet X) |
void |
Ode.replaceParams(DblParamSet X) |
Modifier and Type | Field and Description |
---|---|
protected DblParamSet |
AbstractSimplexObjective.guess |
protected DblParamSet |
VisualScalarOptimizer.InitialGuess |
protected DblParamSet |
AbstractProposalDistribution.mixingParameter |
protected DblParamSet |
AbstractProposalDistribution.newParams |
protected DblParamSet |
AbstractProposalDistribution.oldParams |
DblParamSet |
MyQuadratic.Param |
protected DblParamSet |
StatisticalModel.Params |
DblParamSet |
ParameterValuePair.ParamSet |
protected DblParamSet |
StatisticalModel.PosteriorParams |
protected DblParamSet |
StatisticalModel.PriorParams |
protected DblParamSet |
DblParamSetSimplex.SumOfParameters |
Modifier and Type | Method and Description |
---|---|
DblParamSet |
DiffEvol.getBestEstimate()
Get the estimated parameter value at the estimated parameter value.
|
abstract DblParamSet |
VisualScalarOptimizer.getBestEstimate()
Get the estimated parameter value at the estimated parameter value.
|
DblParamSet |
NMSimplex.getBestEstimate()
Get the estimated parameter value at the estimated parameter value.
|
DblParamSet |
DistributedStatisticalModel.getDistributedParams() |
DblParamSet |
MCMC.getEstimate()
Returns the average of each parameter taken over the chain.
|
DblParamSet |
MCMC.getEstimate(int N)
Returns the average of each parameter taken over the last N elements of the chain.
|
DblParamSet |
DblParamSetSimplex.getFreshNMMean()
Calculate average of parameter values **ignoring the worst parameter set**.
|
DblParamSet |
MCMC.getInitialGuess() |
DblParamSet[] |
DiffEvol.getInitPop()
Output an array of DblParamSet having an initial guess in each element of the array.
|
DblParamSet |
ProposalDistribution.getMixingParams() |
DblParamSet |
AbstractProposalDistribution.getMixingParams() |
DblParamSet |
MetropolisHastings.getNewParams() |
DblParamSet |
MCMCSampler.getNewParams() |
DblParamSet |
DblParamSetSimplex.getNMMean()
Calculate average of parameter values **ignoring the worst parameter set**.
|
DblParamSet |
StatisticalModel.getParams() |
DblParamSet |
DistributedStatisticalModel.getParams() |
DblParamSet |
KernelDensityEstimator.ConfidenceRegionObjective.getParams() |
DblParamSet |
DblParamSetFrame.getParamSet() |
DblParamSet |
DblParamSetEditor.getParamSet() |
DblParamSet |
StatisticalModel.getPosteriorParams()
Get special (options) parameters needed to evaluate the posterior.
|
DblParamSet |
MetropolisHastings.getPreviousParams() |
DblParamSet |
MCMCSampler.getPreviousParams() |
DblParamSet |
StatisticalModel.getPriorParams() |
DblParamSet |
MCMC.getVariance()
Returns the variance of each parameter taken over the chain.
|
DblParamSet |
ProposalDistribution.negLogLikeNewGivenOld() |
DblParamSet |
AbstractProposalDistribution.negLogLikeNewGivenOld() |
DblParamSet |
ProposalDistribution.negLogLikeOldGivenNew() |
DblParamSet |
AbstractProposalDistribution.negLogLikeOldGivenNew() |
DblParamSet |
StatisticalModel.negLogPrior()
Returns the negative log of the prior probability of the current parameter set.
|
abstract DblParamSet |
AbstractProposalDistribution.negLogPrior() |
DblParamSet |
GaussianProposal.negLogPrior() |
DblParamSet |
ProposalDistribution.sample() |
DblParamSet |
AbstractProposalDistribution.sample() |
DblParamSet |
ProposalDistribution.sample(java.lang.String[] subset) |
DblParamSet |
AbstractProposalDistribution.sample(java.lang.String[] subset) |
DblParamSet |
MetropolisHastings.sample(java.lang.String[] subset) |
DblParamSet |
MCMCSampler.sample(java.lang.String[] subset) |
DblParamSet |
StatisticalModel.samplePosterior()
Returns a sample from the posterior distribution of the parameters.
|
DblParamSet |
AbstractProposalDistribution.samplePosterior() |
DblParamSet |
StatisticalModel.samplePosterior(java.lang.String[] subset)
Returns a sample from the posterior distribution of the given
subset of parameters.
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abstract DblParamSet |
AbstractProposalDistribution.samplePosterior(java.lang.String[] subset) |
DblParamSet |
GaussianProposal.samplePosterior(java.lang.String[] subset)
Samples parameters from a Gaussian distribution centered about the current old values.
|
Modifier and Type | Method and Description |
---|---|
DblMatrix |
NMSimplex.getFitnessValue(DblParamSet param)
Get the fitness value for a particular parameter set.
|
DblMatrix |
StatisticalModel.getValueAt(DblParamSet P) |
void |
DistributedStatisticalModel.replaceDistributedParams(DblParamSet X) |
void |
ProposalDistribution.replaceMixingParams(DblParamSet M) |
void |
AbstractProposalDistribution.replaceMixingParams(DblParamSet M) |
void |
MyQuadratic.replaceParam(DblParamSet NewParam)
Replace the parameter values in the existing set ones in another DblParamSet.
|
void |
StatisticalModel.replaceParams(DblParamSet X)
Replace parameters with those in X.
|
void |
DistributedStatisticalModel.replaceParams(DblParamSet X) |
void |
KernelDensityEstimator.ConfidenceRegionObjective.replaceParams(DblParamSet X) |
void |
MyQuadratic.replaceParams(DblParamSet X) |
void |
NamedParameters.replaceParams(DblParamSet X) |
void |
AbstractSimplexObjective.replaceParams(DblParamSet X) |
void |
StatisticalModel.replacePosteriorParams(DblParamSet P)
Replace special (options) parameters needed to evaluate the posterior.
|
void |
StatisticalModel.replacePriorParams(DblParamSet P) |
void |
MCMC.setInitialGuess(DblParamSet guess) |
void |
ProposalDistribution.setMixingParams(DblParamSet M) |
void |
AbstractProposalDistribution.setMixingParams(DblParamSet M) |
void |
MetropolisHastings.setNewParams(DblParamSet x)
Sets the pervious parameter to the current parameters then sets the
current parameters to the input parameters.
|
void |
MCMCSampler.setNewParams(DblParamSet s) |
void |
StatisticalModel.setParams(DblParamSet P) |
void |
DblParamSetFrame.setParamSet(DblParamSet p) |
void |
DblParamSetEditor.setParamSet(DblParamSet p) |
void |
StatisticalModel.setPosteriorParams(DblParamSet P)
Set special (options) parameters needed to evaluate the posterior.
|
void |
MetropolisHastings.setPreviousParams(DblParamSet x) |
void |
MCMCSampler.setPreviousParams(DblParamSet s) |
void |
StatisticalModel.setPriorParams(DblParamSet P) |
void |
ProposalDistribution.updateNewParams(DblParamSet params) |
void |
AbstractProposalDistribution.updateNewParams(DblParamSet params) |
void |
ProposalDistribution.updateOldParams(DblParamSet params) |
void |
AbstractProposalDistribution.updateOldParams(DblParamSet params) |
Constructor and Description |
---|
DiffEvol(OptimizableScalar Model,
DblParamSet InitGuess)
Construct a new Differential Evolution Genetic Algorithm solver using
a model and an intial parameter guess.
|
NMSimplex(OptimizableScalar Model,
DblParamSet InitGuess)
Construct a new Nelder-Mead Simplex using an model and an intial parameter guess.
|
NMSimplexConfiguration(DblParamSet Params) |
ParameterValuePair(DblParamSet P,
DblMatrix X) |
VisualScalarOptimizer(OptimizableScalar Model,
DblParamSet InitGuess)
Construct an optimizer using a model and an initial guess.
|
Modifier and Type | Method and Description |
---|---|
void |
MCMCRunPostgreSQL.restartUsingParametersFrom(DblParamSet params)
Restarts the chain with a new candidate parameter set copied from the values in the given
DblParamSet.
|
void |
MCMCRunDOM.restartUsingParametersFrom(DblParamSet params)
Restarts the chain with a new candidate parameter set copied from the values in the given
DblParamSet.
|
void |
MCMCRunSQL.restartUsingParametersFrom(DblParamSet params)
Restarts the chain with a new candidate parameter set copied from the values in the given
DblParamSet.
|
void |
MCMCRunTransferAgent.restartUsingParametersFrom(DblParamSet params)
Restarts the chain with a new candidate parameter set copied from the values in the given
DblParamSet.
|
void |
MCMCRunXML.restartUsingParametersFrom(DblParamSet params)
Restarts the chain with a new candidate parameter set copied from the values in the given
DblParamSet.
|
void |
MCMCRunStorage.restartUsingParametersFrom(DblParamSet params) |
void |
MCMCRunPostgreSQL.setReferenceParametersFrom(DblParamSet P) |
void |
MCMCRunDOM.setReferenceParametersFrom(DblParamSet P) |
void |
MCMCRunSQL.setReferenceParametersFrom(DblParamSet P) |
void |
MCMCRunXML.setReferenceParametersFrom(DblParamSet P) |
void |
MCMCRunStorage.setReferenceParametersFrom(DblParamSet P) |
Modifier and Type | Method and Description |
---|---|
void |
MCMCRunPanel.restartUsingParametersFrom(DblParamSet params)
Restarts the chain with a new candidate parameter set copied from the values in the given
DblParamSet.
|
void |
MCMCRunFrame.restartUsingParametersFrom(DblParamSet par)
Restarts the chain with a new candidate parameter set copied from the values in the given
DblParamSet.
|
void |
MCMCRunPanel.setReferenceParametersFrom(DblParamSet P) |
void |
MCMCRunFrame.setReferenceParametersFrom(DblParamSet P) |
Modifier and Type | Field and Description |
---|---|
protected DblParamSet |
AbstractBoundaryValueProblem.params |
protected DblParamSet |
AbstractDiffuse.Params |
Modifier and Type | Method and Description |
---|---|
void |
AbstractDiffuse.replaceParams(DblParamSet X) |
void |
BVP.replaceParams(DblParamSet X) |
void |
Diffuse.replaceParams(DblParamSet X) |
void |
StrangSplitter.replaceParams(DblParamSet P) |
void |
AbstractBoundaryValueProblem.replaceParams(DblParamSet X) |
Modifier and Type | Method and Description |
---|---|
DblParamSet |
ParameterSetDOM.getDblParamSet() |
DblParamSet |
ParameterSetSQLite.getDblParamSet() |
DblParamSet |
ParameterSetPostgreSQL.getDblParamSet() |
DblParamSet |
ParameterSetSQL.getDblParamSet() |
DblParamSet |
CanonicalVariableDOM.getDblParamSet() |
DblParamSet |
ParameterSetXML.getDblParamSet() |
DblParamSet |
ParameterSetStorage.getDblParamSet() |
DblParamSet |
CanonicalVariablePostgreSQL.getDblParamSet() |
DblParamSet |
GLMStorageXML.getParameterSet() |
DblParamSet |
GLMStorageSQL.getParameterSet() |
DblParamSet |
GLMStorageDOM.getParameterSet() |
DblParamSet |
BackedByNamedParameters.getParameterSet() |
DblParamSet |
GLMStoragePostgreSQL.getParameterSet() |
Modifier and Type | Method and Description |
---|---|
void |
ParameterSetDOM.setUsingDblParamSet(DblParamSet X) |
void |
ParameterSetSQLite.setUsingDblParamSet(DblParamSet X) |
void |
ParameterSetPostgreSQL.setUsingDblParamSet(DblParamSet X) |
void |
ParameterSetSQL.setUsingDblParamSet(DblParamSet X) |
void |
CanonicalVariableDOM.setUsingDblParamSet(DblParamSet X) |
void |
ParameterSetXML.setUsingDblParamSet(DblParamSet X) |
void |
ParameterSetStorage.setUsingDblParamSet(DblParamSet X) |
Modifier and Type | Method and Description |
---|---|
DblParamSet |
ParameterSetFrame.getDblParamSet() |
DblParamSet |
ParameterSetPanel.getDblParamSet() |
DblParamSet |
GLMStorageFrame.getParameterSet() |
Modifier and Type | Method and Description |
---|---|
void |
ParameterSetFrame.setUsingDblParamSet(DblParamSet s) |
void |
ParameterSetPanel.setUsingDblParamSet(DblParamSet X) |
Modifier and Type | Method and Description |
---|---|
DblParamSet |
ProbabilityDensity.getParams() |
Modifier and Type | Method and Description |
---|---|
void |
ProbabilityDensity.replaceParams(DblParamSet X)
Replace parameters with those in X.
|
Modifier and Type | Method and Description |
---|---|
void |
Constant.replaceParams(DblParamSet X) |
void |
HollingI.replaceParams(DblParamSet X) |
void |
Quadratic.replaceParams(DblParamSet X) |
void |
Cubic.replaceParams(DblParamSet X) |
void |
HollingIII.replaceParams(DblParamSet X) |
void |
HollingII.replaceParams(DblParamSet X) |
Modifier and Type | Method and Description |
---|---|
void |
Erf.replaceParams(DblParamSet X) |
Modifier and Type | Method and Description |
---|---|
DblParamSet |
XppOdeXML.getXppInitialConditionSet() |
DblParamSet |
XppOdePostgreSQL.getXppInitialConditionSet() |
DblParamSet |
XppOdeSQLite.getXppInitialConditionSet() |
DblParamSet |
XppOdeStorage.getXppInitialConditionSet() |
DblParamSet |
XppOdeDOM.getXppInitialConditionSet() |
DblParamSet |
XppOdeXML.getXppParameterSet() |
DblParamSet |
XppOdePostgreSQL.getXppParameterSet() |
DblParamSet |
XppOdeSQLite.getXppParameterSet() |
DblParamSet |
XppOdeStorage.getXppParameterSet() |
DblParamSet |
XppOdeDOM.getXppParameterSet() |
Modifier and Type | Method and Description |
---|---|
void |
XppOdeXML.setXppParamsFrom(DblParamSet var)
Set parameters in this XppOdeStorage to the values
of any corresponding parameter in the DblParamSet.
|
void |
XppOdePostgreSQL.setXppParamsFrom(DblParamSet var)
Set parameters in this XppOdeStorage to the values
of any corresponding parameter in the DblParamSet.
|
void |
XppOdeTransferAgent.setXppParamsFrom(DblParamSet var)
Set parameters in this XppOdeStorage to the values
of any corresponding parameter in the DblParamSet.
|
void |
XppOdeSQLite.setXppParamsFrom(DblParamSet var)
Set parameters in this XppOdeStorage to the values
of any corresponding parameter in the DblParamSet.
|
void |
XppOdeStorage.setXppParamsFrom(DblParamSet var) |
void |
XppOdeDOM.setXppParamsFrom(DblParamSet var)
Set parameters in this XppOdeStorage to the values
of any corresponding parameter in the DblParamSet.
|
Copyright © 2011, 2013. Daniel P. Dougherty