Uses of Class
edu.cmu.tetrad.util.Parameters

Packages that use Parameters

Package	Description
edu.cmu.tetrad.algcomparison
edu.cmu.tetrad.algcomparison.algorithm
edu.cmu.tetrad.algcomparison.algorithm.cluster
edu.cmu.tetrad.algcomparison.algorithm.continuous.dag
edu.cmu.tetrad.algcomparison.algorithm.mixed
edu.cmu.tetrad.algcomparison.algorithm.multi
edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
edu.cmu.tetrad.algcomparison.algorithm.other
edu.cmu.tetrad.algcomparison.algorithm.pairwise
edu.cmu.tetrad.algcomparison.graph
edu.cmu.tetrad.algcomparison.independence
edu.cmu.tetrad.algcomparison.score
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.algcomparison.utils
edu.cmu.tetrad.data
edu.cmu.tetrad.data.simulation
edu.cmu.tetrad.graph
edu.cmu.tetrad.search	Contains classes for searching for (mostly structural) causal models given data.
edu.cmu.tetrad.search.work_in_progress	Contains some classes that aren't ready for prime time.
edu.cmu.tetrad.sem
edu.cmu.tetrad.study.gene.tetrad.gene.graph	Contains an editable display graph for (small) lag graphs.
edu.cmu.tetrad.study.gene.tetrad.gene.simulation	Contains classes for generating simulations of expression levels over a collection of genes.
edu.cmu.tetrad.study.gene.tetradapp.model
edu.cmu.tetrad.util

Uses of Parameters in edu.cmu.tetrad.algcomparison

Methods in edu.cmu.tetrad.algcomparison with parameters of type Parameters

Modifier and Type	Method	Description
void	Comparison.compareFromFiles(String filePath, Algorithms algorithms, Statistics statistics, Parameters parameters)	compareFromFiles.
void	Comparison.compareFromFiles(String dataPath, String resultsPath, Algorithms algorithms, Statistics statistics, Parameters parameters)	Compares algorithms.
void	TimeoutComparison.compareFromFiles(String filePath, Algorithms algorithms, Statistics statistics, Parameters parameters, long timeout, TimeUnit unit)	compareFromFiles.
void	TimeoutComparison.compareFromFiles(String dataPath, String resultsPath, Algorithms algorithms, Statistics statistics, Parameters parameters, long timeout, TimeUnit unit)	Compares algorithms.
void	Comparison.compareFromSimulations(String resultsPath, Simulations simulations, Algorithms algorithms, Statistics statistics, Parameters parameters)	Compare simulation results using the provided parameters and write the comparison results to a file.
void	Comparison.compareFromSimulations(String resultsPath, Simulations simulations, String outputFileName, Algorithms algorithms, Statistics statistics, Parameters parameters)	Compares the results obtained from simulations.
void	Comparison.compareFromSimulations(String resultsPath, Simulations simulations, String outputFileName, PrintStream localOut, Algorithms algorithms, Statistics statistics, Parameters parameters)	Compares the results of different simulations and algorithms.
void	TimeoutComparison.compareFromSimulations(String resultsPath, Simulations simulations, Algorithms algorithms, Statistics statistics, Parameters parameters, long timeout, TimeUnit unit)	compareFromSimulations.
void	TimeoutComparison.compareFromSimulations(String resultsPath, Simulations simulations, String outputFileName, Algorithms algorithms, Statistics statistics, Parameters parameters, long timeout, TimeUnit unit)	Compares algorithms.
void	Comparison.generateReportFromExternalAlgorithms(String dataPath, String resultsPath, Algorithms algorithms, Statistics statistics, Parameters parameters)	Generates a report from external algorithms.
void	Comparison.generateReportFromExternalAlgorithms(String dataPath, String resultsPath, String outputFileName, Algorithms algorithms, Statistics statistics, Parameters parameters)	Generates a report from external algorithms based on the given parameters.
void	TimeoutComparison.generateReportFromExternalAlgorithms(String dataPath, String resultsPath, Algorithms algorithms, Statistics statistics, Parameters parameters, long timeout, TimeUnit unit)	generateReportFromExternalAlgorithms.
void	TimeoutComparison.generateReportFromExternalAlgorithms(String dataPath, String resultsPath, String outputFileName, Algorithms algorithms, Statistics statistics, Parameters parameters, long timeout, TimeUnit unit)	generateReportFromExternalAlgorithms.
void	Comparison.saveToFiles(String dataPath, Simulation simulation, Parameters parameters)	Saves the simulation data to file in the specified data path.
void	TimeoutComparison.saveToFiles(String dataPath, Simulation simulation, Parameters parameters)	Saves simulationWrapper data.
void	Comparison.saveToFilesSingleSimulation(String dataPath, Simulation simulation, Parameters parameters)	Saves the results of a single simulation to files.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm

Methods in edu.cmu.tetrad.algcomparison.algorithm with parameters of type Parameters

Modifier and Type	Method	Description
abstract long	ExternalAlgorithm.getElapsedTime(DataModel dataSet, Parameters parameters)	getElapsedTime.
Graph	AbstractBootstrapAlgorithm.search(DataModel dataModel, Parameters parameters)	Runs the search.
Graph	Algorithm.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	FirstInflection.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	MultiDataSetAlgorithm.search(List<DataModel> dataSets, Parameters parameters)	Runs the search.
Graph	StabilitySelection.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	StARS.search(DataModel dataSet, Parameters parameters)	Runs the search.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm.cluster

Methods in edu.cmu.tetrad.algcomparison.algorithm.cluster with parameters of type Parameters

Modifier and Type	Method	Description
Graph	Fofc.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm and returns the resulting graph.
Graph	Ftfc.runSearch(DataModel dataSet, Parameters parameters)	Runs the search algorithm to find a causal graph.
Graph	Bpc.search(DataModel dataModel, Parameters parameters)	Runs the search algorithm to build a graph using the given data model and parameters.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag

Methods in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag with parameters of type Parameters

Modifier and Type	Method	Description
Graph	Dagma.runSearch(DataModel dataModel, Parameters parameters)	Runs the DAGMA algorithm to search for a directed acyclic graph (DAG) in the given data model with the specified parameters.
Graph	DirectLingam.runSearch(DataModel dataModel, Parameters parameters)	Runs the Direct LiNGAM search algorithm on the given data model with the specified parameters.
Graph	Fask.runSearch(DataModel dataModel, Parameters parameters)	Runs the Fask search algorithm on the given data model with the specified parameters.
Graph	IcaLingam.runSearch(DataModel dataSet, Parameters parameters)	Searches for a graph structure based on the given data set and parameters.
Graph	IcaLingD.runSearch(DataModel dataSet, Parameters parameters)	Runs a search on the provided data set using the given parameters.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm.mixed

Methods in edu.cmu.tetrad.algcomparison.algorithm.mixed with parameters of type Parameters

Modifier and Type	Method	Description
Graph	Mgm.runSearch(DataModel dataModel, Parameters parameters)	Runs the MGM search algorithm.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm.multi

Methods in edu.cmu.tetrad.algcomparison.algorithm.multi with parameters of type Parameters

Modifier and Type	Method	Description
Graph	FaskConcatenated.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	FaskConcatenated.search(List<DataModel> dataSets, Parameters parameters)	Runs the search.
Graph	FaskLofsConcatenated.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	FaskLofsConcatenated.search(List<DataModel> dataModels, Parameters parameters)	Runs the search.
Graph	FaskVote.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	FaskVote.search(List<DataModel> dataSets, Parameters parameters)	Runs the search.
Graph	FasLofs.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	FciIod.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	FciIod.search(List<DataModel> dataSets, Parameters parameters)	Runs the search.
Graph	FgesConcatenated.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	FgesConcatenated.search(List<DataModel> dataModels, Parameters parameters)	Runs the search.
Graph	Images.search(DataModel dataSet, Parameters parameters)	Searches for a graph using the given data set and parameters.
Graph	Images.search(List<DataModel> dataSets, Parameters parameters)	Searches for a graph using the given data sets and parameters.
Graph	ImagesBoss.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	ImagesBoss.search(List<DataModel> dataSets, Parameters parameters)	Runs the search.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag

Methods in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag with parameters of type Parameters

Modifier and Type	Method	Description
Graph	Cstar.search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	SingleGraphAlg.search(DataModel dataSet, Parameters parameters)	Runs the search.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag

Methods in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag with parameters of type Parameters

Modifier and Type	Method	Description
Graph	Bfci.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm using the given dataset and parameters and returns the resulting graph.
Graph	Ccd.runSearch(DataModel dataModel, Parameters parameters)	Runs the CCD (Cyclic Causal Discovery) search algorithm on the given data set using the specified parameters.
Graph	Cfci.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm to discover the causal graph.
Graph	Fci.runSearch(DataModel dataModel, Parameters parameters)	Runs a search algorithm to find a graph based on the given data model and parameters.
Graph	FciMax.runSearch(DataModel dataModel, Parameters parameters)	Runs a search algorithm to discover the causal graph structure.
Graph	Gfci.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm to infer the causal graph given a dataset and specified parameters.
Graph	GraspFci.runSearch(DataModel dataModel, Parameters parameters)	Runs a search algorithm to find a graph structure based on a given data set and parameters.
Graph	LvLite.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm to find a graph structure based on a given data model and parameters.
Graph	PagSampleRfci.runSearch(DataModel dataSet, Parameters parameters)	Runs the search algorithm using the given data set and parameters.
Graph	Rfci.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm on the given data model and parameters.
Graph	RfciBsc.runSearch(DataModel dataModel, Parameters parameters)	Runs a search algorithm using a given dataset and parameters.
Graph	SpFci.runSearch(DataModel dataModel, Parameters parameters)	Executes a search algorithm to infer the causal graph structure from a given data model
Graph	SvarFci.runSearch(DataModel dataModel, Parameters parameters)	Executes the search algorithm to find a graph structure that best fits the given dataset and parameters.
Graph	SvarGfci.runSearch(DataModel dataModel, Parameters parameters)	Runs a search algorithm on the given data set using the specified parameters.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm.other

Methods in edu.cmu.tetrad.algcomparison.algorithm.other with parameters of type Parameters

Modifier and Type	Method	Description
Graph	FactorAnalysis.runSearch(DataModel dataModel, Parameters parameters)	Executes a factor analysis search on the given data model using the provided parameters.
Graph	Glasso.runSearch(DataModel dataModel, Parameters parameters)	Runs a search algorithm to create a graph representation of the data.

Uses of Parameters in edu.cmu.tetrad.algcomparison.algorithm.pairwise

Methods in edu.cmu.tetrad.algcomparison.algorithm.pairwise with parameters of type Parameters

Modifier and Type	Method	Description
Graph	Eb.runSearch(DataModel dataModel, Parameters parameters)	Runs a search algorithm to orient the edges in a graph using the given data and parameters.
Graph	FaskPw.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm using the given data model and parameters.
Graph	R1.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm on the given data model with the provided parameters.
Graph	R2.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm using the provided data model and parameters.
Graph	R3.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm to orient edges in the input graph using the provided data.
Graph	Rskew.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm using the provided data model and parameters.
Graph	RskewE.runSearch(DataModel dataModel, Parameters parameters)	Runs a search algorithm to find the orientation of edges in a graph using the given data model and parameters.
Graph	Skew.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm to orient edges in the input graph using the given data model and parameters.
Graph	SkewE.runSearch(DataModel dataModel, Parameters parameters)	Executes the SkewE search algorithm.
Graph	Tanh.runSearch(DataModel dataModel, Parameters parameters)	Runs the search algorithm using the given data model and parameters.

Uses of Parameters in edu.cmu.tetrad.algcomparison.graph

Methods in edu.cmu.tetrad.algcomparison.graph with parameters of type Parameters

Modifier and Type	Method	Description
Graph	Cyclic.createGraph(Parameters parameters)	createGraph.
Graph	ErdosRenyi.createGraph(Parameters parameters)	createGraph.
Graph	RandomForward.createGraph(Parameters parameters)	Creates a random graph by adding forward edges.
Graph	RandomGraph.createGraph(Parameters parameters)	createGraph.
Graph	RandomSingleFactorMim.createGraph(Parameters parameters)	createGraph.
Graph	RandomTwoFactorMim.createGraph(Parameters parameters)	createGraph.
Graph	ScaleFree.createGraph(Parameters parameters)	createGraph.
Graph	SingleGraph.createGraph(Parameters parameters)	createGraph.

Uses of Parameters in edu.cmu.tetrad.algcomparison.independence

Methods in edu.cmu.tetrad.algcomparison.independence with parameters of type Parameters

Modifier and Type	Method	Description
IndependenceTest	BdeuTest.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	CciTest.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	ChiSquare.getTest(DataModel dataSet, Parameters parameters)	Retrieves an instance of the IndependenceTest interface that performs a Chi Square Test for independence.
IndependenceTest	ConditionalGaussianLRT.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	DegenerateGaussianLRT.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	DiscreteBicTest.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	FisherZ.getTest(DataModel dataModel, Parameters parameters)	Gets an independence test based on the given data model and parameters.
IndependenceTest	GICScoreTests.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	GSquare.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	IndependenceWrapper.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	Kci.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	MagSemBicTest.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	Mnlrlrt.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	MSeparationTest.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	MultinomialLogisticRegressionWald.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	Mvplrt.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	PositiveCorr.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	ProbabilisticTest.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	SemBicDTest.getTest(DataModel dataSet, Parameters parameters)	Retrieves an IndependenceTest object for testing independence against a given data set and parameters.
IndependenceTest	SemBicTest.getTest(DataModel dataSet, Parameters parameters)	Returns an instance of IndependenceTest for the SEM BIC test.

Uses of Parameters in edu.cmu.tetrad.algcomparison.score

Methods in edu.cmu.tetrad.algcomparison.score with parameters of type Parameters

Modifier and Type	Method	Description
Score	BdeuScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	ConditionalGaussianBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	DegenerateGaussianBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	DiscreteBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	EbicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	FisherZScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	GicScores.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	MagSemBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	MSeparationScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	MVPBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	PoissonPriorScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	PositiveCorrScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	ScoreWrapper.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	SemBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	SemBicScoreDeterministic.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	ZhangShenBoundScore.getScore(DataModel dataSet, Parameters parameters)	Calculates the score based on the given data set and parameters.

Uses of Parameters in edu.cmu.tetrad.algcomparison.simulation

Methods in edu.cmu.tetrad.algcomparison.simulation with parameters of type Parameters

Modifier and Type	Method	Description
void	BayesNetSimulation.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	ConditionalGaussianSimulation.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	GeneralSemSimulation.createData(Parameters parameters, boolean newModel)	Creates data sets for simulation based on the given parameters and model reuse preference.
void	GeneralSemSimulationSpecial1.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	LeeHastieSimulation.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	LinearFisherModel.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	LinearSineSimulation.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	NLSemSimulation.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	SemSimulation.createData(Parameters parameters, boolean newModel)	Creates data sets for simulation based on the given parameters and model reuse preference.
void	SemThenDiscretize.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	Simulation.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	StandardizedSemSimulation.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	TimeSeriesSemSimulation.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.

Uses of Parameters in edu.cmu.tetrad.algcomparison.utils

Methods in edu.cmu.tetrad.algcomparison.utils that return Parameters

Modifier and Type	Method	Description
Parameters	HasParameterValues.getParameterValues()	getParameterValues.

Uses of Parameters in edu.cmu.tetrad.data

Methods in edu.cmu.tetrad.data with parameters of type Parameters

Modifier and Type	Method	Description
static List<DataSet>	DataSampling.createDataSamples(DataSet dataSet, Parameters parameters)	Create a list of dataset resampled from the given dataset.
static List<DataSet>	DataSampling.createDataSamples(DataSet dataSet, Parameters parameters, org.apache.commons.math3.random.RandomGenerator randomGenerator)	Create a list of dataset resampled from the given dataset.

Uses of Parameters in edu.cmu.tetrad.data.simulation

Methods in edu.cmu.tetrad.data.simulation that return Parameters

Modifier and Type	Method	Description
Parameters	LoadContinuousDataAndSingleGraph.getParameterValues()	getParameterValues.
Parameters	LoadContinuousDataSmithSim.getParameterValues()	getParameterValues.

Methods in edu.cmu.tetrad.data.simulation with parameters of type Parameters

Modifier and Type	Method	Description
void	LoadContinuousDataAndGraphs.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	LoadContinuousDataAndSingleGraph.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	LoadContinuousDataSmithSim.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	LoadDataAndGraphs.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
void	LoadDataFromFileWithoutGraph.createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.

Uses of Parameters in edu.cmu.tetrad.graph

Methods in edu.cmu.tetrad.graph with parameters of type Parameters

Modifier and Type	Method	Description
static Graph	GraphUtils.getComparisonGraph(Graph graph, Parameters params)	Returns a comparison graph based on the specified parameters.

Uses of Parameters in edu.cmu.tetrad.search

Constructors in edu.cmu.tetrad.search with parameters of type Parameters

Modifier	Constructor	Description
	Cstar(IndependenceWrapper test, ScoreWrapper score, Parameters parameters)	Constructor.

Uses of Parameters in edu.cmu.tetrad.search.work_in_progress

Methods in edu.cmu.tetrad.search.work_in_progress with parameters of type Parameters

Modifier and Type	Method	Description
Graph	FaskVote.search(Parameters parameters)	Does the search.

Uses of Parameters in edu.cmu.tetrad.sem

Methods in edu.cmu.tetrad.sem that return Parameters

Modifier and Type	Method	Description
Parameters	SemIm.getParams()	Getter for the field params.

Methods in edu.cmu.tetrad.sem with parameters of type Parameters

Modifier and Type	Method	Description
void	SemIm.setParams(Parameters params)	Setter for the field params.

Constructors in edu.cmu.tetrad.sem with parameters of type Parameters

Modifier	Constructor	Description
	SemIm(SemPm semPm, SemIm oldSemIm, Parameters parameters)	Constructs a new SEM IM from the given SEM PM, using the old SEM IM and params object to guide the choice of parameter values.
	SemIm(SemPm semPm, Parameters params)	Constructs a new SEM IM from the given SEM PM, using the given params object to guide the choice of parameter values.
	StandardizedSemIm(SemIm im, StandardizedSemIm.Initialization initialization, Parameters parameters)	Constructs a new standardized SEM IM from the freeParameters in the given SEM IM.
	StandardizedSemIm(SemIm im, Parameters parameters)	Constructs a new standardized SEM IM, initializing from the freeParameters in the given SEM IM.

Uses of Parameters in edu.cmu.tetrad.study.gene.tetrad.gene.graph

Constructors in edu.cmu.tetrad.study.gene.tetrad.gene.graph with parameters of type Parameters

Modifier	Constructor	Description
	LagGraphParams(Parameters parameters)	Constructor for LagGraphParams.

Uses of Parameters in edu.cmu.tetrad.study.gene.tetrad.gene.simulation

Constructors in edu.cmu.tetrad.study.gene.tetrad.gene.simulation with parameters of type Parameters

Modifier	Constructor	Description
	MeasurementSimulator(Parameters parameters)	Constructs a measurement simulator using the given history.

Uses of Parameters in edu.cmu.tetrad.study.gene.tetradapp.model

Constructors in edu.cmu.tetrad.study.gene.tetradapp.model with parameters of type Parameters

Modifier	Constructor	Description
	MeasurementSimulatorParams(Parameters parameters)	Constructs a measurement simulator using the given history.

Uses of Parameters in edu.cmu.tetrad.util

Methods in edu.cmu.tetrad.util that return Parameters

Modifier and Type	Method	Description
static Parameters	ParameterUtils.create(List<String> names)	Create parameters with their default values.
static Parameters	Parameters.serializableInstance()	serializableInstance.

Methods in edu.cmu.tetrad.util with parameters of type Parameters

Modifier and Type	Method	Description
void	Parameters.putAll(Parameters parameters)	putAll.

Constructors in edu.cmu.tetrad.util with parameters of type Parameters

Modifier	Constructor	Description
	Parameters(Parameters parameters)	Constructor for Parameters.