Uses of Class
edu.cmu.tetrad.sem.GeneralizedSemIm

Packages that use GeneralizedSemIm

Package	Description
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.sem

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

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

Modifier and Type	Method	Description
static GeneralizedSemIm	LeeHastieSimulation.GaussianCategoricalIm(GeneralizedSemPm pm)	GaussianCategoricalIm.
static GeneralizedSemIm	LeeHastieSimulation.GaussianCategoricalIm(GeneralizedSemPm pm, boolean discParamRand)	This method is needed to normalize edge parameters for an Instantiated Mixed Model Generates edge parameters for c-d and d-d edges from a single weight, abs(w), drawn by the normal IM constructor.

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

Modifier and Type	Method	Description
List<GeneralizedSemIm>	GeneralSemSimulation.getIms()	Retrieves the list of GeneralizedSemIm objects used for simulation.

Constructors in edu.cmu.tetrad.algcomparison.simulation with parameters of type GeneralizedSemIm

Modifier	Constructor	Description
	GeneralSemSimulation(GeneralizedSemIm im)	Constructs a GeneralSemSimulation object with the given GeneralizedSemIm object.

Uses of GeneralizedSemIm in edu.cmu.tetrad.sem

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

Modifier and Type	Method	Description
GeneralizedSemIm	GeneralizedSemEstimator.estimate(GeneralizedSemPm pm, DataSet data)	Maximizes likelihood equation by equation.
static GeneralizedSemIm	GeneralizedSemIm.serializableInstance()	Generates a simple exemplar of this class to test serialization.