Uses of Class
com.mockturtlesolutions.snifflib.invprobs.StatisticalModel

Packages that use StatisticalModel

Package	Description
com.mockturtlesolutions.snifflib.datatypes	Contains standard classes and interfaces for storage, retrieval, and display.
com.mockturtlesolutions.snifflib.graphics	Contains standard classes and interfaces for 2D and 3D graphics.
com.mockturtlesolutions.snifflib.integration	Contains standard classes and interfaces for performing integration.
com.mockturtlesolutions.snifflib.invprobs	Contains standard classes and interfaces for solving statistical inverse problems.
com.mockturtlesolutions.snifflib.statmodeltools.database	Base classes for the repository storage framework of the statmodeltools package.
com.mockturtlesolutions.snifflib.statmodeltools.workbench	Graphical interface classes for the repository storage framework of the statmodeltools package.
com.mockturtlesolutions.snifflib.stats	Contains standard classes and interfaces for statistical storage classes and algorithms.
com.mockturtlesolutions.snifflib.testfun	Contains some typical functions useful for testing various algorithms.
com.mockturtlesolutions.snifflib.util	Contains some utility classes providing methods of broad applicability.
com.mockturtlesolutions.snifflib.xppauttools.database	Base classes for the repository storage framework of xppauttools

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.datatypes

Fields in com.mockturtlesolutions.snifflib.datatypes declared as StatisticalModel

Modifier and Type	Field and Description
protected StatisticalModel	DataSetAdapter.model

Methods in com.mockturtlesolutions.snifflib.datatypes that return StatisticalModel

Modifier and Type	Method and Description
StatisticalModel	DataSetAdapter.getModel()

Methods in com.mockturtlesolutions.snifflib.datatypes with parameters of type StatisticalModel

Modifier and Type	Method and Description
void	DataSetAdapter.setModel(StatisticalModel M)

Constructors in com.mockturtlesolutions.snifflib.datatypes with parameters of type StatisticalModel

Constructor and Description
DataSetAdapter(DataSet S, StatisticalModel mod)
DataSetAdapter(StatisticalModel mod)

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.graphics

Fields in com.mockturtlesolutions.snifflib.graphics declared as StatisticalModel

Modifier and Type	Field and Description
protected StatisticalModel	ModelSelector.currentModel

Methods in com.mockturtlesolutions.snifflib.graphics that return StatisticalModel

Modifier and Type	Method and Description
StatisticalModel	ModelSelector.getSelected()
StatisticalModel	ModelSelectorFrame.getSelected()

Methods in com.mockturtlesolutions.snifflib.graphics with parameters of type StatisticalModel

Modifier and Type	Method and Description
void	ModelSelector.addModel(StatisticalModel mod)
void	ModelSelectorFrame.addModel(StatisticalModel mod)
void	ModelSelector.removeModel(StatisticalModel mod)
void	ModelSelectorFrame.removeModel(StatisticalModel mod)
void	ModelSelector.setSelected(StatisticalModel mod)
void	ModelSelectorFrame.setSelected(StatisticalModel mod)

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.integration

Subclasses of StatisticalModel in com.mockturtlesolutions.snifflib.integration

Modifier and Type	Class and Description
class	OdeModel This model wraps an OdeSolver and extends the StatisticalModel.

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.invprobs

Subclasses of StatisticalModel in com.mockturtlesolutions.snifflib.invprobs

Modifier and Type	Class and Description
class	AbstractProposalDistribution A standard approach to the proposal distribution called for in Metropolis-Hastings Markov Chain Monte-Carlo.
class	BayesianLinear This is a simple extension of Linear appropriate for full Bayesian linear regression under the assumption of independent and identically distributed Gaussian errors and uniform prior.
class	DistributedStatisticalModel Provides a transparent extension of StatisticalModel for cases where parameters and/or data may be distributed across one or more other classes (e.g.
class	GaussianProposal A convenience class for setting up a proposal distribution which is Gaussian for all parameters in a companion StatisticalModel.

Fields in com.mockturtlesolutions.snifflib.invprobs declared as StatisticalModel

Modifier and Type	Field and Description
protected StatisticalModel	MetropolisHastings.likelihood
protected StatisticalModel	AbstractCalibrationDialog.model
protected StatisticalModel	GraphicalStatisticalModel.model
protected StatisticalModel	CalibrationPanel.model
protected StatisticalModel	MetropolisHastings.prior

Methods in com.mockturtlesolutions.snifflib.invprobs that return StatisticalModel

Modifier and Type	Method and Description
StatisticalModel	AbstractCalibrationDialog.getModel()
StatisticalModel	GraphicalStatisticalModel.getModel()
StatisticalModel	CalibrationPanel.getModel()

Methods in com.mockturtlesolutions.snifflib.invprobs with parameters of type StatisticalModel

Modifier and Type	Method and Description
void	AbstractCalibrationDialog.setModel(StatisticalModel mod)
void	GraphicalStatisticalModel.setModel(StatisticalModel m)
void	CalibrationPanel.setModel(StatisticalModel mod)

Constructors in com.mockturtlesolutions.snifflib.invprobs with parameters of type StatisticalModel

Constructor and Description
AbstractCalibrationDialog(StatisticalModel mod)
AbstractProposalDistribution(StatisticalModel model) The means of the Gaussians will be assumed to be the current values in
BatesWatts(StatisticalModel FUN, DblMatrix MSE)
GaussianProposal(StatisticalModel model) The means of the Gaussians will be assumed to be the current values in
LeastSquaresCalibrationPanel(StatisticalModel mod)
MCMCDialog(StatisticalModel mod)
MetropolisHastings(StatisticalModel like, StatisticalModel pr, ProposalDistribution prop)

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.statmodeltools.database

Methods in com.mockturtlesolutions.snifflib.statmodeltools.database that return StatisticalModel

Modifier and Type	Method and Description
StatisticalModel	StatisticalModelSQL.getStatisticalModel()
StatisticalModel	StatisticalModelPostgreSQL.getStatisticalModel()
StatisticalModel	GLMStorageXML.getStatisticalModel()
StatisticalModel	GLMStorageSQL.getStatisticalModel()
StatisticalModel	GLMStorageDOM.getStatisticalModel()
StatisticalModel	GLMStoragePostgreSQL.getStatisticalModel()
StatisticalModel	StatisticalModelXML.getStatisticalModel()
StatisticalModel	StatisticalModelStorage.getStatisticalModel()

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.statmodeltools.workbench

Methods in com.mockturtlesolutions.snifflib.statmodeltools.workbench that return StatisticalModel

Modifier and Type	Method and Description
StatisticalModel	GLMStorageFrame.getStatisticalModel()

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.stats

Subclasses of StatisticalModel in com.mockturtlesolutions.snifflib.stats

Modifier and Type	Class and Description
class	FCDF
class	NormPDF

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.testfun

Subclasses of StatisticalModel in com.mockturtlesolutions.snifflib.testfun

Modifier and Type	Class and Description
class	Constant
class	Cubic
class	HollingI
class	HollingII
class	HollingIII
class	Linear
class	MichaelisMenten
class	Quadratic

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.util

Subclasses of StatisticalModel in com.mockturtlesolutions.snifflib.util

Modifier and Type	Class and Description
class	AbstractGammaAlgorithm Gamma function evaluation.
class	AbstractIncBetaAlgorithm Incomplete Beta function.
class	AbstractLogGammaAlgorithm Gamma function evaluation.
class	NRIncBetaAlgorithm Algorithm is based on Numerical Recipies in Fortran p.220-221.
class	NRLogGammaAlgorithm Algorithm is based on Numerical Recipies in Fortran.
class	TothGammaAlgorithm Algorithm is based on an approximation presented by Viktor T.

Constructors in com.mockturtlesolutions.snifflib.util with parameters of type StatisticalModel

Constructor and Description
Gradient(StatisticalModel F, DblMatrix[] Xin)

Uses of StatisticalModel in com.mockturtlesolutions.snifflib.xppauttools.database

Subclasses of StatisticalModel in com.mockturtlesolutions.snifflib.xppauttools.database

Modifier and Type	Class and Description
class	XppOdeStatisticalModel