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

Packages that use SemPm

Package	Description
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.search.work_in_progress	Contains some classes that aren't ready for prime time.
edu.cmu.tetrad.sem

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

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

Modifier	Constructor	Description
	SemSimulation(SemPm pm)	Initializes a SemSimulation with the given SemPm object.
	StandardizedSemSimulation(SemPm pm)	Constructor for StandardizedSemSimulation.

Uses of SemPm in edu.cmu.tetrad.search.work_in_progress

Methods in edu.cmu.tetrad.search.work_in_progress that return SemPm

Modifier and Type	Method	Description
SemPm	SampleVcpc.getSemPm()	Getter for the field semPm.
SemPm	SampleVcpcFast.getSemPm()	Getter for the field semPm.

Methods in edu.cmu.tetrad.search.work_in_progress with parameters of type SemPm

Modifier and Type	Method	Description
void	SampleVcpc.setSemPm(SemPm semPm)	Setter for the field semPm.
void	SampleVcpcFast.setSemPm(SemPm semPm)	Setter for the field semPm.

Uses of SemPm in edu.cmu.tetrad.sem

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

Modifier and Type	Method	Description
SemPm	ISemIm.getSemPm()	getSemPm.
SemPm	SemEstimator.getSemPm()	Getter for the field semPm.
SemPm	SemEstimatorGibbs.getSemPm()	Getter for the field semPm.
SemPm	SemIm.getSemPm()	Getter for the field semPm.
SemPm	StandardizedSemIm.getSemPm()	Getter for the field semPm.
static SemPm	SemPm.serializableInstance()	Generates a simple exemplar of this class to test serialization.

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

Modifier	Constructor	Description
	GeneralizedSemPm(SemPm semPm)	Constructs a new GeneralizedSemPm object based on the given SemPm object.
	SemEstimator(DataSet dataSet, SemPm semPm)	Constructs a Sem Estimator that does default estimation.
	SemEstimator(DataSet dataSet, SemPm semPm, SemOptimizer semOptimizer)	Constructs a new SemEstimator that uses the specified optimizer.
	SemEstimator(ICovarianceMatrix covMatrix, SemPm semPm)	Constructs a SEM estimator that does default estimation.
	SemEstimator(ICovarianceMatrix covMatrix, SemPm semPm, SemOptimizer semOptimizer)	Constructs a new SemEstimator that uses the specified optimizer.
	SemEstimatorGibbs(int numIterations, double stretch1, double stretch2, double tolerance, double priorVariance, SemPm semPm, SemIm startIm, boolean flatPrior)	Constructor for SemEstimatorGibbs.
	SemEstimatorGibbs(SemPm semPm, SemIm startIm, double[][] sampleCovars, boolean flatPrior, double stretch, int numIterations)	Constructor for SemEstimatorGibbs.
	SemIm(SemPm semPm)	Constructs a new SEM IM from a SEM PM.
	SemIm(SemPm semPm, ICovarianceMatrix covMatrix)	Constructs a SEM model using the given SEM PM and sample covariance matrix.
	SemIm(SemPm semPm, SemIm oldSemIm, Parameters parameters)	Constructs a new SEM IM from the given SEM PM, using the old SEM IM and params object to guide the choice of parameter values.
	SemIm(SemPm semPm, Parameters params)	Constructs a new SEM IM from the given SEM PM, using the given params object to guide the choice of parameter values.
	SemIm(SemPm semPm, List<Node> variableNodes, List<Node> measuredNodes, Matrix edgeCoef, double[] variableMeansStdDev)	Constructor for SemIm.
	SemPm(SemPm semPm)	Copy constructor.