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

Packages that use SemIm

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 SemIm in edu.cmu.tetrad.algcomparison.simulation

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

Modifier and Type	Method	Description
List<SemIm>	SemSimulation.getSemIms()

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

Modifier	Constructor	Description
	SemSimulation(SemIm im)

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

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

Modifier and Type	Method	Description
SemIm	HbsmsBeam.Score.getEstimatedSem()
SemIm	HbsmsGes.Score.getEstimatedSem()
SemIm	Hbsms.getNewSemIm()
SemIm	HbsmsBeam.getNewSemIm()
SemIm	HbsmsGes.getNewSemIm()
SemIm	Hbsms.getOriginalSemIm()
SemIm	HbsmsBeam.getOriginalSemIm()
SemIm	HbsmsGes.getOriginalSemIm()
SemIm	SampleVcpc.getSemIm()
SemIm	SampleVcpcFast.getSemIm()

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

Modifier and Type	Method	Description
void	SampleVcpc.setSemIm(SemIm semIm)
void	SampleVcpcFast.setSemIm(SemIm semIm)

Uses of SemIm in edu.cmu.tetrad.sem

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

Modifier and Type	Method	Description
SemIm	SemEstimator.estimate()	Runs the estimator on the data and SemPm passed in through the constructor.
SemIm	SemEstimator.getEstimatedSem()
SemIm	SemEstimatorGibbs.getEstimatedSem()
SemIm	DagScorer.getEstSem()
SemIm	Scorer.getEstSem()
SemIm	SemUpdater.getManipulatedSemIm()
SemIm	ParamConstraint.getSemIm()
SemIm	SemEvidence.getSemIm()
SemIm	SemProposition.getSemIm()
SemIm	SemUpdater.getSemIm()
static SemIm	SemXmlParser.getSemIm(nu.xom.Element semImElement)	Takes an xml representation of a SEM IM and reinstantiates the IM
SemIm	SemEstimatorGibbsParams.getStartIm()
SemIm	SemUpdater.getUpdatedSemIm()	See http://en.wikipedia.org/wiki/Multivariate_normal_distribution.
static SemIm	SemIm.retainValues(SemIm semIm, SemGraph graph)	Constructs a new SEM IM with the given graph, retaining parameter values from semIm for nodes of the same name and edges connecting nodes of the same names.
static SemIm	SemIm.serializableInstance()	Generates a simple exemplar of this class to test serialization.
SemIm	SemIm.updatedIm(Matrix covariances, Vector means)

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

Modifier and Type	Method	Description
static nu.xom.Element	SemXmlRenderer.getElement(SemIm semIm)	Converts a Sem Im into xml.
void	SemOptimizer.optimize(SemIm sem)	Optimizes the fitting function of a Sem by adjusting its parameter values.
void	SemOptimizerEm.optimize(SemIm semIm)
void	SemOptimizerPowell.optimize(SemIm semIm)
void	SemOptimizerRegression.optimize(SemIm semIm)	Fit the freeParameters by doing local regressions.
void	SemOptimizerRicf.optimize(SemIm semIm)	Optimizes the fitting function of the given Sem using the Powell method from Numerical Recipes by adjusting the freeParameters of the Sem.
void	SemOptimizerScattershot.optimize(SemIm semIm)	Optimizes the fitting function of the given Sem using the Powell method from Numerical Recipes by adjusting the freeParameters of the Sem.
static SemIm	SemIm.retainValues(SemIm semIm, SemGraph graph)	Constructs a new SEM IM with the given graph, retaining parameter values from semIm for nodes of the same name and edges connecting nodes of the same names.
void	SemEstimatorGibbsParams.setStartIm(SemIm startIm)
static SemProposition	SemProposition.tautology(SemIm semIm)

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

Modifier	Constructor	Description
	GeneralizedSemIm(GeneralizedSemPm pm, SemIm semIm)
	ParamConstraint(SemIm semIm, Parameter param1, ParamConstraintType type, double number)	The first constructor specifies the parameter and a number and the type of relation imposed by the constraint.
	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)
	SemEvidence(SemIm semIm)	Constructs a container for evidence for the given Bayes IM.
	SemIm(SemIm semIm)	Copy constructor.
	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.
	SemManipulation(SemIm semIm)	Constructs a container for evidence for the given Bayes IM.
	SemProposition(SemIm semIm)	Creates a new Proposition which allows all values.
	SemUpdater(SemIm semIm)
	StandardizedSemIm(SemIm im, StandardizedSemIm.Initialization initialization, Parameters parameters)	Constructs a new standardized SEM IM from the freeParameters in the given SEM IM.
	StandardizedSemIm(SemIm im, Parameters parameters)	Constructs a new standardized SEM IM, initializing from the freeParameters in the given SEM IM.