Uses of Interface
edu.cmu.tetrad.bayes.BayesIm

Packages that use BayesIm

Package	Description
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.bayes
edu.cmu.tetrad.search

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

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

Modifier and Type	Method	Description
List<BayesIm>	BayesNetSimulation.getBayesIms()

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

Modifier	Constructor	Description
	BayesNetSimulation(BayesIm im)

Uses of BayesIm in edu.cmu.tetrad.bayes

Classes in edu.cmu.tetrad.bayes that implement BayesIm

Modifier and Type	Class	Description
final class	DirichletBayesIm	Stores Dirichlet pseudocounts for the distributions of each variable conditional on particular combinations of its parent values and, together with Bayes Pm and Dag, provides methods to manipulate these tables.
final class	MlBayesIm	Stores a table of probabilities for a Bayes net and, together with BayesPm and Dag, provides methods to manipulate this table.
final class	MlBayesImObs	Stores a table of probabilities for a Bayes net and, together with BayesPm and Dag, provides methods to manipulate this table.
final class	UpdatedBayesIm	Represents a Bayes IM in which all of the conditional probability tables have been updated to take into account evidence.

Methods in edu.cmu.tetrad.bayes that return BayesIm

Modifier and Type	Method	Description
BayesIm	EmBayesProperties.Estimator.estimate(BayesPm bayesPm, DataSet dataSet)
BayesIm	MlBayesEstimator.estimate(BayesPm bayesPm, DataSet dataSet)	33 Estimates a Bayes IM using the variables, graph, and parameters in the given Bayes PM and the data columns in the given data set.
BayesIm	ApproximateUpdater.getBayesIm()
BayesIm	BayesUpdater.getBayesIm()
BayesIm	BayesXmlParser.getBayesIm(nu.xom.Element element)
BayesIm	CptInvariantUpdater.getBayesIm()
BayesIm	Identifiability.getBayesIm()	The BayesIm that this updater bases its update on.
BayesIm	JunctionTreeUpdater.getBayesIm()
BayesIm	RowSummingExactUpdater.getBayesIm()	The BayesIm that this updater bases its update on.
BayesIm	MlBayesImObs.getBayesImObs()
BayesIm	EmBayesEstimator.getEstimatedIm()
BayesIm	ApproximateUpdater.getManipulatedBayesIm()
BayesIm	CptInvariantUpdater.getManipulatedBayesIm()
BayesIm	Identifiability.getManipulatedBayesIm()
BayesIm	JunctionTreeUpdater.getManipulatedBayesIm()
BayesIm	ManipulatingBayesUpdater.getManipulatedBayesIm()
BayesIm	RowSummingExactUpdater.getManipulatedBayesIm()
BayesIm	ApproximateUpdater.getUpdatedBayesIm()
BayesIm	CptInvariantUpdater.getUpdatedBayesIm()
BayesIm	Identifiability.getUpdatedBayesIm()	The updated BayesIm.
BayesIm	JunctionTreeUpdater.getUpdatedBayesIm()
BayesIm	ManipulatingBayesUpdater.getUpdatedBayesIm()
BayesIm	RowSummingExactUpdater.getUpdatedBayesIm()	The updated BayesIm.
BayesIm	FactoredBayesStructuralEM.iterate()	This iterate2 method also uses BdeMetricCache but it uses the factorScoreMD method which can handle missing data and latent variables.
BayesIm	EmBayesEstimator.maximization(double threshhold)	This method iteratively estimates the parameters of the Bayes net using the dataset until the parameters don't change.
BayesIm	FactoredBayesStructuralEM.maximization(double tolerance)	This method allows specification of the tolerance parameter used in Bayes EM estimation.

Methods in edu.cmu.tetrad.bayes with parameters of type BayesIm

Modifier and Type	Method	Description
static StoredCellProbs	StoredCellProbs.createCellTable(BayesIm bayesIm)
int	BayesIm.getCorrespondingNodeIndex(int nodeIndex, BayesIm otherBayesIm)
int	DirichletBayesIm.getCorrespondingNodeIndex(int nodeIndex, BayesIm otherBayesIm)
int	MlBayesIm.getCorrespondingNodeIndex(int nodeIndex, BayesIm otherBayesIm)
int	MlBayesImObs.getCorrespondingNodeIndex(int nodeIndex, BayesIm otherBayesIm)
int	UpdatedBayesIm.getCorrespondingNodeIndex(int nodeIndex, BayesIm otherBayesIm)
static nu.xom.Element	BayesXmlRenderer.getElement(BayesIm bayesIm)
double[][]	BdeMetricCache.getObservedCounts(Node node, BayesPm bayesPm, BayesIm bayesIm)	This method is used in testing and debugging and not in the BDe metric calculations.
double	BdeMetricCache.scoreLnGam(Node node, Set<Node> parents, BayesPm bayesPmMod, BayesIm bayesIm)	Computes the BDe score, using the logarithm of the gamma function, relative to the data, of the factor determined by a node and its parents.

Constructors in edu.cmu.tetrad.bayes with parameters of type BayesIm

Modifier	Constructor	Description
	ApproximateUpdater(BayesIm bayesIm)
	ApproximateUpdater(BayesIm bayesIm, Evidence evidence)	Constructs a new updater for the given Bayes net.
	BayesImProbs(BayesIm bayesIm)
	CptInvariantMarginalCalculator(BayesIm bayesIm, Evidence evidence)	Constructs a new marginal calculator for the given updated Bayes IM.
	CptInvariantUpdater(BayesIm bayesIm)
	CptInvariantUpdater(BayesIm bayesIm, Evidence evidence)	Constructs a new updater for the given Bayes net.
	EmBayesEstimator(BayesIm inputBayesIm, DataSet dataSet)
	Identifiability(BayesIm bayesIm)	Constructs a new updater for the given Bayes net.
	Identifiability(BayesIm bayesIm, Evidence evidence)
	JunctionTreeAlgorithm(BayesIm bayesIm)
	JunctionTreeUpdater(BayesIm bayesIm)
	JunctionTreeUpdater(BayesIm bayesIm, Evidence evidence)
	MlBayesIm(BayesIm bayesIm)	Copy constructor.
	MlBayesIm(BayesPm bayesPm, BayesIm oldBayesIm, int initializationMethod)	Constructs a new BayesIm from the given BayesPm, initializing values either as MANUAL or RANDOM, but using values from the old BayesIm provided where posssible.
	MlBayesImObs(BayesIm bayesIm)
	MlBayesImObs(BayesPm bayesPm, BayesIm oldBayesIm, int initializationMethod)	Constructs a new BayesIm from the given BayesPm, initializing values either as MANUAL or RANDOM, but using values from the old BayesIm provided where posssible.
	RowSummingExactUpdater(BayesIm bayesIm)	Constructs a new updater for the given Bayes net.
	RowSummingExactUpdater(BayesIm bayesIm, Evidence evidence)	Constructs a new updater for the given Bayes net.
	UpdatedBayesIm(BayesIm bayesIm)	Constructs Bayes net in which CPT's updated for the given evidence are calculated on the fly.
	UpdatedBayesIm(BayesIm bayesIm, Evidence evidence)	Constructs Bayes net in which CPT's updated for the given evidence are calculated on the fly.

Uses of BayesIm in edu.cmu.tetrad.search

Methods in edu.cmu.tetrad.search that return BayesIm

Modifier and Type	Method	Description
BayesIm	BayesUpdaterClassifier.getBayesIm()
BayesIm	XdslXmlParser.getBayesIm(nu.xom.Element element)	Takes an xml representation of a Bayes IM and reinstantiates the IM

Constructors in edu.cmu.tetrad.search with parameters of type BayesIm

Modifier	Constructor	Description
	BayesUpdaterClassifier(BayesIm bayesIm, DataSet testData)