Uses of Interface
edu.cmu.tetrad.algcomparison.simulation.Simulation
Packages that use Simulation
Package
Description
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Uses of Simulation in edu.cmu.tetrad.algcomparison
Methods in edu.cmu.tetrad.algcomparison with parameters of type SimulationModifier and TypeMethodDescriptionvoidComparison.saveToFiles(String dataPath, Simulation simulation, Parameters parameters) Saves the simulation data to file in the specified data path.voidTimeoutComparison.saveToFiles(String dataPath, Simulation simulation, Parameters parameters) Saves simulationWrapper data.voidComparison.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 SimulationModifier and TypeMethodDescriptionExternalAlgorithm.getSimulation()Getter for the fieldsimulation.Methods in edu.cmu.tetrad.algcomparison.algorithm with parameters of type SimulationModifier and TypeMethodDescriptionvoidExternalAlgorithm.setSimulation(Simulation simulation) Setter for the fieldsimulation. -
Uses of Simulation in edu.cmu.tetrad.algcomparison.simulation
Classes in edu.cmu.tetrad.algcomparison.simulation that implement SimulationModifier and TypeClassDescriptionclassAdditive Noise SEM (ANM-style) simulator wrapper for algcomparison.classThis class represents a Causal Perceptron Network.classBayes net simulation.classA simulation method based on the conditional Gaussian assumption.classThe GeneralSemSimulation class represents a simulation using a generalized structural equation model (SEM).classThis was used for a simulation to test the FTFC and FOFC algorithm and contains some carefully selected functions to test nonlinearity and non-Gaussianity.classNL SEM simulation.classThis class represents a Simulation using Structural Equation Modeling (SEM).classA version of the Lee and Hastic simulation.classThis class represents a continuous MNAR simulation.classLinear Fisher Model.classA simulation method based on the mixed variable polynomial assumption.classThis class represents a nonlinear functions of linear simulation.classThis class represents a post-nonlinear causal model.classThis class represents a Simulation using Structural Equation Modeling (SEM).classSEM the discretize.classASimulationimplementation that returns a single supplied data set.classStandardized SEM simulation.classTime series SEM simulation.Methods in edu.cmu.tetrad.algcomparison.simulation that return SimulationModifier and TypeMethodDescriptionstatic SimulationSimulationUtils.create(String simulationType, RandomGraph randomGraph) create.Methods in edu.cmu.tetrad.algcomparison.simulation that return types with arguments of type SimulationModifier and TypeMethodDescriptionClass<? extends Simulation> AdditiveAnmSimulator.getSimulationClass()Retrieves the class of the simulation.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> 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> PostnonlinearCausalModel.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()Simulations.getSimulations()Returns the list of simulations.Methods in edu.cmu.tetrad.algcomparison.simulation with parameters of type SimulationModifier and TypeMethodDescriptionvoidSimulations.add(Simulation simulation) Adds an simulation. -
Uses of Simulation in edu.cmu.tetrad.data.simulation
Classes in edu.cmu.tetrad.data.simulation that implement SimulationModifier and TypeClassDescriptionclassLoad data sets and graphs from a directory.classLoad data sets and graphs from a directory.classLoad data sets and graphs from a directory.classLoad data sets and graphs from a directory.classLoad data sets and graphs from a directory.Methods in edu.cmu.tetrad.data.simulation that return types with arguments of type SimulationModifier and TypeMethodDescriptionClass<? extends Simulation> LoadContinuousDataAndGraphs.getSimulationClass()Class<? extends Simulation> LoadContinuousDataAndSingleGraph.getSimulationClass()Class<? extends Simulation> LoadContinuousDataSmithSim.getSimulationClass()Class<? extends Simulation> LoadDataAndGraphs.getSimulationClass()Class<? extends Simulation> LoadDataFromFileWithoutGraph.getSimulationClass()