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)
	StandardizedSemSimulation(SemPm pm)

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()
SemPm	SampleVcpcFast.getSemPm()

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

Modifier and Type	Method	Description
void	SampleVcpc.setSemPm(SemPm semPm)
void	SampleVcpcFast.setSemPm(SemPm 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()
SemPm	SemEstimator.getSemPm()
SemPm	SemEstimatorGibbs.getSemPm()
SemPm	SemIm.getSemPm()
SemPm	StandardizedSemIm.getSemPm()
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)
	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)
	SemEstimatorGibbs(SemPm semPm, SemIm startIm, double[][] sampleCovars, boolean flatPrior, double stretch, int numIterations)
	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)
	SemPm(SemPm semPm)	Copy constructor.