Uses of Interface
edu.cmu.tetrad.algcomparison.simulation.Simulation

Packages that use Simulation

Package	Description
edu.cmu.tetrad.algcomparison
edu.cmu.tetrad.algcomparison.algorithm
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.data.simulation

Uses of Simulation in edu.cmu.tetrad.algcomparison

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

Modifier and Type	Method	Description
void	Comparison.saveToFiles(String dataPath, Simulation simulation, Parameters parameters)	Saves simulationWrapper data.
void	TimeoutComparison.saveToFiles(String dataPath, Simulation simulation, Parameters parameters)	Saves simulationWrapper data.
void	Comparison.saveToFilesSingleSimulation(String dataPath, Simulation simulation, Parameters parameters)	Saves simulationWrapper data.

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

Fields in edu.cmu.tetrad.algcomparison.algorithm declared as Simulation

Modifier and Type	Field	Description
protected Simulation	ExternalAlgorithm.simulation

Methods in edu.cmu.tetrad.algcomparison.algorithm that return Simulation

Modifier and Type	Method	Description
Simulation	ExternalAlgorithm.getSimulation()

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

Modifier and Type	Method	Description
void	ExternalAlgorithm.setSimulation(Simulation simulation)

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

Classes in edu.cmu.tetrad.algcomparison.simulation that implement Simulation

Modifier and Type	Class	Description
class	BayesNetSimulation
class	BooleanGlassSimulation	A version of the Lee and Hastic simulation which is guaranteed to generate a discrete data set.
class	ConditionalGaussianSimulation	A simulation method based on the conditional Gaussian assumption.
class	GeneralSemSimulation
class	GeneralSemSimulationSpecial1	This was used for a simulation to test the FTFC and FOFC algorithm and contains some carefully selected functions to test nonlinearity and non-Gaussianity.
class	LeeHastieSimulation	A version of the Lee and Hastic simulation which is guaranteed ot generate a discrete data set.
class	LinearFisherModel
class	LinearSineSimulation	A simulation method based on the mixed variable polynomial assumption.
class	SemSimulation
class	SemThenDiscretize
class	StandardizedSemSimulation
class	TimeSeriesSemSimulation

Methods in edu.cmu.tetrad.algcomparison.simulation that return Simulation

Modifier and Type	Method	Description
static Simulation	SimulationUtils.create(String simulationType, RandomGraph randomGraph)

Methods in edu.cmu.tetrad.algcomparison.simulation that return types with arguments of type Simulation

Modifier and Type	Method	Description
List<Simulation>	Simulations.getSimulations()	Returns the list of simulations.

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

Modifier and Type	Method	Description
void	Simulations.add(Simulation simulation)	Adds an simulation.

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

Classes in edu.cmu.tetrad.data.simulation that implement Simulation

Modifier and Type	Class	Description
class	LoadContinuousDataAndGraphs
class	LoadContinuousDataAndSingleGraph
class	LoadContinuousDataSmithSim
class	LoadDataAndGraphs
class	LoadDataFromFileWithoutGraph