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

Packages that use GeneralizedSemPm

Package	Description
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.sem
edu.pitt.csb.mgm

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

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

Modifier	Constructor	Description
	GeneralSemSimulation(GeneralizedSemPm pm)	Initializes a GeneralSemSimulation with the given GeneralizedSemPm object.

Uses of GeneralizedSemPm in edu.cmu.tetrad.sem

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

Modifier and Type	Method	Description
GeneralizedSemPm	GeneralizedSemIm.getGeneralizedSemPm()	Retrieves the GeneralizedSemPm object associated with this GeneralizedSemIm.
GeneralizedSemPm	GeneralizedSemIm.getSemPm()	getSemPm.
static GeneralizedSemPm	GeneralizedSemPm.serializableInstance()	Generates a simple exemplar of this class to test serialization.

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

Modifier and Type	Method	Description
GeneralizedSemIm	GeneralizedSemEstimator.estimate(GeneralizedSemPm pm, DataSet data)	Maximizes likelihood equation by equation.
String	TemplateExpander.expandTemplate(String template, GeneralizedSemPm semPm, Node node)	Returns the expanded template, which needs to be checked to make sure it can be used.

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

Modifier	Constructor	Description
	EmpiricalDistributionForExpression(GeneralizedSemPm semPm, Node error, Context context)	Constructor for EmpiricalDistributionForExpression.
	GeneralizedSemIm(GeneralizedSemPm pm)	Constructs a new GeneralizedSemIm from the given GeneralizedSemPm by picking values for each of the freeParameters from their initial distributions.
	GeneralizedSemIm(GeneralizedSemPm pm, SemIm semIm)	Initializes a GeneralizedSemIm object by applying values to free parameters from the given GeneralizedSemPm and SemIm.
	GeneralizedSemPm(GeneralizedSemPm semPm)	Initializes a new instance of the GeneralizedSemPm class by copying the properties of the provided GeneralizedSemPm object.

Uses of GeneralizedSemPm in edu.pitt.csb.mgm

Methods in edu.pitt.csb.mgm that return GeneralizedSemPm

Modifier and Type	Method	Description
static GeneralizedSemPm	MixedUtils.GaussianCategoricalPm(Graph trueGraph, String paramTemplate)	GaussianCategoricalPm.
static GeneralizedSemPm	MixedUtils.GaussianTrinaryPm(Graph trueGraph, HashMap<String,String> nodeDists, int maxSample, String paramTemplate)	GaussianTrinaryPm.

Methods in edu.pitt.csb.mgm with parameters of type GeneralizedSemPm

Modifier and Type	Method	Description
static GeneralizedSemIm	MixedUtils.GaussianCategoricalIm(GeneralizedSemPm pm)	GaussianCategoricalIm.
static GeneralizedSemIm	MixedUtils.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.
static List<String>	MixedUtils.getEdgeParams(Node n1, Node n2, GeneralizedSemPm pm)	getEdgeParams.
static List<String>	MixedUtils.getEdgeParams(String s1, String s2, GeneralizedSemPm pm)	getEdgeParams.
static void	MixedUtils.setStartsWith(String sta, String template, GeneralizedSemPm pm)	Set all existing parameters that begins with sta to template and also set template for any new parameters