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 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 Simulation in edu.cmu.tetrad.algcomparison.algorithm

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

Modifier and Type	Method	Description
Simulation	ExternalAlgorithm.getSimulation()	Getter for the field simulation.

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

Modifier and Type	Method	Description
void	ExternalAlgorithm.setSimulation(Simulation simulation)	Setter for the field 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	AdditiveNoiseSimulation	This class represents a Causal Perceptron Network.
class	BayesNetSimulation	Bayes net simulation.
class	ConditionalGaussianSimulation	A simulation method based on the conditional Gaussian assumption.
class	DaoSimulation	Implements the DAG-adaptation of the Onion (DaO) simulation method for generating linear data from a DAG, with exogenous errors drawn from one of the reference implementation's five variance-matched families (Gaussian by default; Exponential, Gumbel, Laplace, or Uniform via daoErrorDistribution), as described in:
class	DesignedExperimentSimulation	Simulates data with the anatomy of a designed physical experiment (the archetype is the NASA Airfoil Self-Noise dataset), in contrast to an observational sample.
class	GeneralAdditiveModel	Wrapper for the neural-net Generalized Additive Model (GAM) simulator.
class	GeneralNoiseSimulation	This class represents a Causal Perceptron Network.
class	GeneralSemSimulation	The GeneralSemSimulation class represents a simulation using a generalized structural equation model (SEM).
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	GpSemSimulation	NL SEM simulation.
class	HybridCgSimulation	This class represents a Simulation using Structural Equation Modeling (SEM).
class	LeeHastieSimulation	A version of the Lee and Hastic simulation.
class	LgMnarSimulation	This class represents a continuous MNAR simulation.
class	LinearFisherModel	Linear Fisher Model.
class	LinearSineSimulation	A simulation method based on the mixed variable polynomial assumption.
class	NonGaussianSemSimulation	A linear SEM simulation whose exogenous noises are drawn independently from the distribution given by the customNoiseExpression parameter (default Exp(1)) rather than from Gaussians.
class	NonlinearFunctionsOfLinear	This class represents a nonlinear functions of linear simulation.
class	ObservationalStudySimulation	Simulates data with the anatomy of a real observational scientific dataset (the archetype is the Algerian Forest Fires dataset, but with all complications defaulted off this is a plain mixed-data cross-sectional study).
class	PostnonlinearSem	This class represents a post-nonlinear SEM model.
class	SemSimulation	This class represents a Simulation using Structural Equation Modeling (SEM).
class	SemThenDiscretize	SEM the discretize.
class	SingleDatasetSimulation	A Simulation implementation that returns a single supplied data set.
class	StandardizedSemSimulation	Standardized SEM simulation.
class	TimeSeriesSemSimulation	Time series SEM simulation.
class	TrainedDagModel	Trained DAG model.

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

Modifier and Type	Method	Description
static Simulation	SimulationUtils.create(String simulationType, RandomGraph randomGraph)	Creates a simulation instance based on the specified simulation type and random graph.
static Simulation	SimulationUtils.create(String simulationType, RandomGraph randomGraph, Knowledge knowledge)	Creates a simulation instance based on the specified simulation type, random graph, and knowledge.

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

Modifier and Type	Method	Description
Class<? extends Simulation>	AdditiveNoiseSimulation.getSimulationClass()	Returns the class of the current simulation.
Class<? extends Simulation>	BayesNetSimulation.getSimulationClass()
Class<? extends Simulation>	ConditionalGaussianSimulation.getSimulationClass()
Class<? extends Simulation>	DaoSimulation.getSimulationClass()
Class<? extends Simulation>	DesignedExperimentSimulation.getSimulationClass()	Returns the class of the current simulation.
Class<? extends Simulation>	GeneralAdditiveModel.getSimulationClass()	Retrieves the class type of the simulation associated with the General Additive Model.
Class<? extends Simulation>	GeneralNoiseSimulation.getSimulationClass()	Returns the class of the current simulation.
Class<? extends Simulation>	GeneralSemSimulation.getSimulationClass()
Class<? extends Simulation>	GeneralSemSimulationSpecial1.getSimulationClass()
Class<? extends Simulation>	GpSemSimulation.getSimulationClass()
Class<? extends Simulation>	HybridCgSimulation.getSimulationClass()
Class<? extends Simulation>	LeeHastieSimulation.getSimulationClass()
Class<? extends Simulation>	LgMnarSimulation.getSimulationClass()	Returns the class of the current simulation.
Class<? extends Simulation>	LinearFisherModel.getSimulationClass()
Class<? extends Simulation>	LinearSineSimulation.getSimulationClass()
Class<? extends Simulation>	NonlinearFunctionsOfLinear.getSimulationClass()	Returns the class of the current simulation.
Class<? extends Simulation>	ObservationalStudySimulation.getSimulationClass()	Returns the class of the current simulation.
Class<? extends Simulation>	PostnonlinearSem.getSimulationClass()	Returns the class of the current simulation.
Class<? extends Simulation>	SemSimulation.getSimulationClass()
Class<? extends Simulation>	SemThenDiscretize.getSimulationClass()
Class<? extends Simulation>	Simulation.getSimulationClass()	Returns the class of the simulation.
Class<? extends Simulation>	SingleDatasetSimulation.getSimulationClass()	Retrieves the class of the simulation.
Class<? extends Simulation>	StandardizedSemSimulation.getSimulationClass()
Class<? extends Simulation>	TimeSeriesSemSimulation.getSimulationClass()	Returns the class of the simulation.
Class<? extends Simulation>	TrainedDagModel.getSimulationClass()
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	Load data sets and graphs from a directory.
class	LoadContinuousDataAndSingleGraph	Load data sets and graphs from a directory.
class	LoadContinuousDataSmithSim	Load data sets and graphs from a directory.
class	LoadDataAndGraphs	Load data sets and graphs from a directory.
class	LoadDataFromFileWithoutGraph	Load data sets and graphs from a directory.

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

Modifier and Type	Method	Description
Class<? extends Simulation>	LoadContinuousDataAndGraphs.getSimulationClass()
Class<? extends Simulation>	LoadContinuousDataAndSingleGraph.getSimulationClass()
Class<? extends Simulation>	LoadContinuousDataSmithSim.getSimulationClass()
Class<? extends Simulation>	LoadDataAndGraphs.getSimulationClass()
Class<? extends Simulation>	LoadDataFromFileWithoutGraph.getSimulationClass()