Uses of Class
edu.cmu.tetrad.data.Knowledge

Packages that use Knowledge

Package	Description
edu.cmu.tetrad.algcomparison
edu.cmu.tetrad.algcomparison.algorithm.continuous.dag
edu.cmu.tetrad.algcomparison.algorithm.multi
edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
edu.cmu.tetrad.algcomparison.algorithm.other
edu.cmu.tetrad.algcomparison.score
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.algcomparison.statistic
edu.cmu.tetrad.algcomparison.utils
edu.cmu.tetrad.data
edu.cmu.tetrad.graph
edu.cmu.tetrad.search	This package contains classes for causal graph search algorithms.
edu.cmu.tetrad.search.cdnod_pag
edu.cmu.tetrad.search.is
edu.cmu.tetrad.search.mimic
edu.cmu.tetrad.search.rlcd
edu.cmu.tetrad.search.utils	This package contains utility classes for causal graph search algorithms.
edu.cmu.tetrad.search.work_in_progress	A package for algorithms that are not ready for prime time.
edu.cmu.tetrad.sem
edu.cmu.tetrad.study.performance
edu.cmu.tetrad.util
edu.pitt.dbmi.algo.bayesian.constraint.search

Uses of Knowledge in edu.cmu.tetrad.algcomparison

Methods in edu.cmu.tetrad.algcomparison that return Knowledge

Modifier and Type	Method	Description
Knowledge	Comparison.getKnowledge()	Retrieves the knowledge.

Methods in edu.cmu.tetrad.algcomparison with parameters of type Knowledge

Modifier and Type	Method	Description
void	Comparison.setKnowledge(Knowledge knowledge)	Sets the knowledge for the current instance.

Uses of Knowledge in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag

Methods in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag that return Knowledge

Modifier and Type	Method	Description
Knowledge	DirectLingam.getKnowledge()	Returns a knowledge object.
Knowledge	Fask.getKnowledge()	Retrieves the knowledge associated with this object.
Knowledge	FaskOrig.getKnowledge()	Deprecated. Retrieves the knowledge associated with this object.

Methods in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag with parameters of type Knowledge

Modifier and Type	Method	Description
void	DirectLingam.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Fask.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with this object.
void	FaskOrig.setKnowledge(Knowledge knowledge)	Deprecated. Sets the knowledge associated with this object.

Uses of Knowledge in edu.cmu.tetrad.algcomparison.algorithm.multi

Methods in edu.cmu.tetrad.algcomparison.algorithm.multi that return Knowledge

Modifier and Type	Method	Description
Knowledge	FaskConcatenated.getKnowledge()	Returns a knowledge object.
Knowledge	FaskPool.getKnowledge()	Returns a knowledge object.
Knowledge	FaskVote.getKnowledge()	Returns a knowledge object.
Knowledge	FciIod.getKnowledge()	Returns a knowledge object.
Knowledge	FgesConcatenated.getKnowledge()	Returns a knowledge object.
Knowledge	Images.getKnowledge()	Returns a knowledge object.
Knowledge	ImagesBoss.getKnowledge()	Returns a knowledge object.
Knowledge	ImagesFges.getKnowledge()	Retrieves the knowledge of the current instance.

Methods in edu.cmu.tetrad.algcomparison.algorithm.multi with parameters of type Knowledge

Modifier and Type	Method	Description
void	FaskConcatenated.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	FaskPool.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	FaskVote.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	FciIod.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	FgesConcatenated.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Images.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	ImagesBoss.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	ImagesFges.setKnowledge(Knowledge knowledge)	Sets the knowledge object for this instance.

Uses of Knowledge in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag

Methods in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag that return Knowledge

Modifier and Type	Method	Description
Knowledge	Boss.getKnowledge()	Returns a knowledge object.
Knowledge	BossCdnodScore.getKnowledge()
Knowledge	BossTopK.getKnowledge()	Returns a knowledge object.
Knowledge	BossTrekMimic.getKnowledge()	Deprecated. Returns a knowledge object.
Knowledge	Cam.getKnowledge()
Knowledge	Cdnod.getKnowledge()	Returns the knowledge of the algorithm.
Knowledge	CdnodBoss.getKnowledge()
Knowledge	CdnodPag.getKnowledge()	Retrieves the knowledge object associated with the current instance of Cdnod.
Knowledge	Cpc.getKnowledge()	Retrieves the knowledge associated with this object.
Knowledge	Fas.getKnowledge()	Returns a knowledge object.
Knowledge	Fges.getKnowledge()	Returns a knowledge object.
Knowledge	FgesMb.getKnowledge()	Returns a knowledge object.
Knowledge	Grasp.getKnowledge()	Returns a knowledge object.
Knowledge	IsFges.getKnowledge()
Knowledge	Pc.getKnowledge()	Returns a knowledge object.
Knowledge	PcAr.getKnowledge()	Returns a knowledge object.
Knowledge	Pcd.getKnowledge()	Returns a knowledge object.
Knowledge	PcMax.getKnowledge()	Returns a knowledge object.
Knowledge	PcMb.getKnowledge()	Returns a knowledge object.
Knowledge	Pcmci.getKnowledge()
Knowledge	SingleGraphAlg.getKnowledge()	Returns a knowledge object.
Knowledge	Sp.getKnowledge()	Returns a knowledge object.
Knowledge	Tgin.getKnowledge()	Deprecated. Returns a knowledge object.
Knowledge	TrekMimic.getKnowledge()	Returns a knowledge object.
Knowledge	TwoStep.getKnowledge()	Deprecated. Retrieves the current knowledge associated with the TwoStep algorithm.

Methods in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag with parameters of type Knowledge

Modifier and Type	Method	Description
void	Boss.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	BossCdnodScore.setKnowledge(Knowledge knowledge)
void	BossTopK.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	BossTrekMimic.setKnowledge(Knowledge knowledge)	Deprecated. Sets a knowledge object.
void	Cam.setKnowledge(Knowledge knowledge)
void	Cdnod.setKnowledge(Knowledge knowledge)	Sets the knowledge of the algorithm.
void	CdnodBoss.setKnowledge(Knowledge knowledge)
void	CdnodPag.setKnowledge(Knowledge knowledge)	Sets the knowledge object for the current instance of the Cdnod class.
void	Cpc.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with this object.
void	Fas.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Fges.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	FgesMb.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Grasp.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	IsFges.setKnowledge(Knowledge knowledge)
void	Pc.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	PcAr.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Pcd.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	PcMax.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	PcMb.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Pcmci.setKnowledge(Knowledge knowledge)
void	SingleGraphAlg.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Sp.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Tgin.setKnowledge(Knowledge knowledge)	Deprecated. Sets a knowledge object.
void	TrekMimic.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	TwoStep.setKnowledge(Knowledge knowledge)	Deprecated. Sets the knowledge object for the TwoStep algorithm.

Uses of Knowledge in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag

Methods in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag that return Knowledge

Modifier and Type	Method	Description
Knowledge	Bfci.getKnowledge()	Retrieves the knowledge associated with the algorithm.
Knowledge	BfciBryan.getKnowledge()	Retrieves the knowledge associated with the algorithm.
Knowledge	BfciBryanScore.getKnowledge()	Retrieves the knowledge associated with the algorithm.
Knowledge	BfciC.getKnowledge()	Retrieves the knowledge associated with the algorithm.
Knowledge	BfciD.getKnowledge()	Retrieves the knowledge associated with the algorithm.
Knowledge	BfciScoreCheck.getKnowledge()	Retrieves the knowledge associated with the algorithm.
Knowledge	BossCcd.getKnowledge()	Retrieves the knowledge object associated with this instance.
Knowledge	BossFci.getKnowledge()	Returns a knowledge object.
Knowledge	BossPod.getKnowledge()	Returns a knowledge object.
Knowledge	Ccd.getKnowledge()	Retrieves the knowledge object associated with this instance.
Knowledge	Cfci.getKnowledge()	Retrieves the knowledge object.
Knowledge	Dm.getKnowledge()	Returns the background knowledge.
Knowledge	DmFcit.getKnowledge()	Returns a knowledge object.
Knowledge	DmPc.getKnowledge()	Returns a knowledge object.
Knowledge	Fci.getKnowledge()	Retrieves the knowledge object.
Knowledge	FciMax.getKnowledge()	Retrieves the knowledge object.
Knowledge	Fcit.getKnowledge()	Retrieves the knowledge object associated with this method.
Knowledge	FcitMagMarkov.getKnowledge()	Retrieves the knowledge object associated with this method.
Knowledge	FcitMarkov.getKnowledge()	Retrieves the knowledge object associated with this method.
Knowledge	FcitSl.getKnowledge()	Retrieves the knowledge object associated with this method.
Knowledge	FcitSlScoreCheck.getKnowledge()	Retrieves the knowledge object associated with this method.
Knowledge	FcitZm.getKnowledge()	Retrieves the knowledge object associated with this method.
Knowledge	Gfci.getKnowledge()	Retrieves the Knowledge object associated with this instance.
Knowledge	GfciOld.getKnowledge()	Retrieves the Knowledge object associated with this instance.
Knowledge	Gmas.getKnowledge()	Returns the knowledge.
Knowledge	GraspFci.getKnowledge()	Retrieves the knowledge object associated with this method.
Knowledge	Icd.getKnowledge()	Returns the knowledge object.
Knowledge	IsGfci.getKnowledge()	Returns a knowledge object.
Knowledge	LvHeuristic.getKnowledge()	Retrieves the knowledge object associated with this method.
Knowledge	PagSampleRfci.getKnowledge()	Returns a knowledge object.
Knowledge	PagSamplingRfci.getKnowledge()	Retrieves the knowledge associated with this method.
Knowledge	Rfci.getKnowledge()	Returns a knowledge object.
Knowledge	RfciBsc.getKnowledge()	Retrieves the knowledge associated with this object.
Knowledge	SpFci.getKnowledge()	Retrieves the knowledge object associated with this algorithm.

Methods in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag with parameters of type Knowledge

Modifier and Type	Method	Description
void	Bfci.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the algorithm.
void	BfciBryan.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the algorithm.
void	BfciBryanScore.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the algorithm.
void	BfciC.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the algorithm.
void	BfciD.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the algorithm.
void	BfciScoreCheck.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the algorithm.
void	BossCcd.setKnowledge(Knowledge knowledge)	Sets the knowledge object for this instance.
void	BossFci.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	BossPod.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Ccd.setKnowledge(Knowledge knowledge)	Sets the knowledge object for this instance.
void	Cfci.setKnowledge(Knowledge knowledge)	Sets the knowledge object for this method.
void	Dm.setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	DmFcit.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	DmPc.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	Fci.setKnowledge(Knowledge knowledge)	Sets the knowledge object for this method.
void	FciMax.setKnowledge(Knowledge knowledge)	Sets the knowledge object for this method.
void	Fcit.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this method.
void	FcitMagMarkov.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this method.
void	FcitMarkov.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this method.
void	FcitSl.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this method.
void	FcitSlScoreCheck.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this method.
void	FcitZm.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this method.
void	Gfci.setKnowledge(Knowledge knowledge)	Sets the Knowledge object associated with this instance.
void	GfciOld.setKnowledge(Knowledge knowledge)	Sets the Knowledge object associated with this instance.
void	Gmas.setKnowledge(Knowledge knowledge)	Sets the knowledge.
void	GraspFci.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this method.
void	Icd.setKnowledge(Knowledge knowledge)	Sets the knowledge object.
void	IsGfci.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	LvHeuristic.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this method.
void	PagSampleRfci.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	PagSamplingRfci.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with this method.
void	Rfci.setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	RfciBsc.setKnowledge(Knowledge knowledge)	Sets the knowledge object.
void	SpFci.setKnowledge(Knowledge knowledge)	Sets the knowledge object associated with this algorithm.

Uses of Knowledge in edu.cmu.tetrad.algcomparison.algorithm.other

Methods in edu.cmu.tetrad.algcomparison.algorithm.other that return Knowledge

Modifier and Type	Method	Description
Knowledge	Rlcd.getKnowledge()

Methods in edu.cmu.tetrad.algcomparison.algorithm.other with parameters of type Knowledge

Modifier and Type	Method	Description
void	Rlcd.setKnowledge(Knowledge knowledge)

Uses of Knowledge in edu.cmu.tetrad.algcomparison.score

Methods in edu.cmu.tetrad.algcomparison.score that return Knowledge

Modifier and Type	Method	Description
Knowledge	InstanceAugmentedSemBicScoreWrapper.getKnowledge()	Retrieves the knowledge associated with this instance.
Knowledge	IsBDeuScoreWrapper.getKnowledge()	Retrieves a copy of the current knowledge associated with this score wrapper.

Methods in edu.cmu.tetrad.algcomparison.score with parameters of type Knowledge

Modifier and Type	Method	Description
void	InstanceAugmentedSemBicScoreWrapper.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with this instance.
void	IsBDeuScoreWrapper.setKnowledge(Knowledge knowledge)	Sets the knowledge used by this score wrapper.

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

Methods in edu.cmu.tetrad.algcomparison.simulation that return Knowledge

Modifier and Type	Method	Description
Knowledge	DesignedExperimentSimulation.getKnowledge(int index)	Returns the design-implied knowledge for the given data model: tiers by role, factors (F) before derived quantities (D) before responses (R), with the CONFIG bookkeeping column, when emitted, in a tier of its own before all of these (its fixed-effects reading).
Knowledge	ObservationalStudySimulation.getKnowledge(int index)	Returns the design-implied knowledge for the given data model: tiers by role, context (C) before system (S) before indices (I) before outcomes (Y), with the SUBJECT bookkeeping column, when emitted, in a tier of its own before all of these (its fixed-effects reading).
Knowledge	TimeSeriesSemSimulation.getKnowledge()	Returns a knowledge object.

Methods in edu.cmu.tetrad.algcomparison.simulation with parameters of type Knowledge

Modifier and Type	Method	Description
static Simulation	SimulationUtils.create(String simulationType, RandomGraph randomGraph, Knowledge knowledge)	Creates a simulation instance based on the specified simulation type, random graph, and knowledge.
void	TimeSeriesSemSimulation.setKnowledge(Knowledge knowledge)	Sets a knowledge object.

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

Modifier	Constructor	Description
	TimeSeriesSemSimulation(RandomGraph randomGraph, Knowledge knowledge)	Creates a new TimeSeriesSemSimulation with the given random graph and within-lag knowledge over base variable names (no lag suffix).

Uses of Knowledge in edu.cmu.tetrad.algcomparison.statistic

Methods in edu.cmu.tetrad.algcomparison.statistic that return Knowledge

Modifier and Type	Method	Description
Knowledge	KnowledgeSatisfied.getKnowledge()

Methods in edu.cmu.tetrad.algcomparison.statistic with parameters of type Knowledge

Modifier and Type	Method	Description
void	KnowledgeSatisfied.setKnowledge(Knowledge knowledge)

Uses of Knowledge in edu.cmu.tetrad.algcomparison.utils

Methods in edu.cmu.tetrad.algcomparison.utils that return Knowledge

Modifier and Type	Method	Description
Knowledge	AcceptsKnowledge.getKnowledge()	Returns a knowledge object.
Knowledge	ProvidesKnowledge.getKnowledge(int index)	Returns the design-implied knowledge for the given data model, over that data model's variables.

Methods in edu.cmu.tetrad.algcomparison.utils with parameters of type Knowledge

Modifier and Type	Method	Description
void	AcceptsKnowledge.setKnowledge(Knowledge knowledge)	Sets a knowledge object.

Uses of Knowledge in edu.cmu.tetrad.data

Methods in edu.cmu.tetrad.data that return Knowledge

Modifier and Type	Method	Description
Knowledge	Knowledge.copy()	Makes a shallow copy.
Knowledge	BoxDataSet.getKnowledge()	Getter for the field knowledge.
final Knowledge	CorrelationMatrixOnTheFly.getKnowledge()	getKnowledge.
final Knowledge	CovarianceMatrix.getKnowledge()	Getter for the field knowledge.
final Knowledge	CovarianceMatrixOnTheFly.getKnowledge()	Getter for the field knowledge.
Knowledge	DataModelList.getKnowledge()	Getter for the field knowledge.
Knowledge	ICovarianceMatrix.getKnowledge()	Retrieves the knowledge associated with the ICovarianceMatrix.
Knowledge	IndependenceFacts.getKnowledge()	Getter for the field knowledge.
Knowledge	KnowledgeTransferable.getKnowledge()	getKnowledge.
Knowledge	NumberObjectDataSet.getKnowledge()	Getter for the field knowledge.
Knowledge	TimeSeriesData.getKnowledge()	Getter for the field knowledge.
static Knowledge	SimpleDataLoader.loadKnowledge(File file, DelimiterType delimiter, String commentMarker)	Loads knowledge from a file.
static Knowledge	SimpleDataLoader.loadKnowledge(Reader reader, DelimiterType delimiter, String commentMarker)	Loads knowledge from an arbitrary character stream, in the same tetrad2 format SimpleDataLoader.loadKnowledge(File, DelimiterType, String) reads and DataWriter.saveKnowledge writes.
static Knowledge	Knowledge.serializableInstance()	Generates a simple exemplar of this class to test serialization.

Methods in edu.cmu.tetrad.data with parameters of type Knowledge

Modifier and Type	Method	Description
static void	DataWriter.saveKnowledge(Knowledge knowledge, Writer out)	Saves knowledge in the tetrad2 text format that SimpleDataLoader.loadKnowledge reads.
static void	DataWriter.saveKnowledge(Knowledge knowledge, Writer out, boolean useCommaDelimiter)	Saves knowledge in the tetrad2 text format, choosing the delimiter explicitly.
void	BoxDataSet.setKnowledge(Knowledge knowledge)	Sets knowledge to a copy of the given object.
final void	CorrelationMatrixOnTheFly.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the ICovarianceMatrix.
final void	CovarianceMatrix.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the ICovarianceMatrix.
final void	CovarianceMatrixOnTheFly.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the ICovarianceMatrix.
void	DataModelList.setKnowledge(Knowledge knowledge)	Sets knowledge to a copy of the given object.
void	ICovarianceMatrix.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with the ICovarianceMatrix.
void	IndependenceFacts.setKnowledge(Knowledge knowledge)	Sets knowledge to a copy of the given object.
void	KnowledgeTransferable.setKnowledge(Knowledge knowledge)	Sets knowledge to a copy of the given object.
void	NumberObjectDataSet.setKnowledge(Knowledge knowledge)	Sets knowledge to a copy of the given object.
void	TimeSeriesData.setKnowledge(Knowledge knowledge)	Sets knowledge to a copy of the given object.

Constructors in edu.cmu.tetrad.data with parameters of type Knowledge

Modifier	Constructor	Description
	Knowledge(Knowledge knowledge)	Constructor for Knowledge.

Uses of Knowledge in edu.cmu.tetrad.graph

Methods in edu.cmu.tetrad.graph with parameters of type Knowledge

Modifier and Type	Method	Description
static void	GraphUtils.addForbiddenReverseEdgesForDirectedEdges(Graph graph, Knowledge knowledge)	Adds forbidden reverse edges for directed edges in the given graph based on the knowledge.
static boolean	GraphUtils.applyForbiddenCircleResolution(Graph pag, Knowledge knowledge)	Resolves forbidden circles in the given partially oriented graph (PAG) based on the provided knowledge.
static boolean	GraphUtils.colliderAllowed(Graph pag, Node x, Node b, Node y, Knowledge knowledge)	Determines if the collider is allowed.
static Graph	GraphTransforms.dagFromCpdag(Graph graph, Knowledge knowledge)	dagFromCpdag.
static Graph	GraphTransforms.dagFromCpdag(Graph cpdag, Knowledge knowledge, boolean verbose)	Returns a random DAG from the given CPDAG.
static Graph	GraphTransforms.dagToPag(Graph graph, Knowledge knowledge, boolean excludeSelectionBias, int recursiveDepth)	Converts a Directed Acyclic Graph (DAG) to a Partial Ancestral Graph (PAG) using the provided DAG and knowledge.
static List<Graph>	GraphTransforms.getDagsInCpdagMeek(Graph cpdag, Knowledge knowledge)	Retrieves a list of directed acyclic graphs (DAGs) within the given completed partially directed acyclic graph (CPDAG) using the Meek rules.
static Graph	GraphUtils.guaranteePag(Graph pag, FciOrient fciOrient, Knowledge knowledge, Set<Triple> knownColliders, boolean verbose, Set<Node> selection, boolean excludeSelectionBias, int recursiveDepth)	Guarantees the correctness of a Partial Ancestral Graph (PAG) by repairing faulty structures such as cycles, violations of maximality, and incorrectly oriented edges, using FCI orientation rules and knowledge constraints.
static void	LayoutUtil.layoutByKnowledgeTiers(Graph graph, Knowledge knowledge)	Arranges the nodes of the given graph in tiers based on their grouping as defined in the provided knowledge object.
static void	GraphUtils.recallInitialColliders(Graph pag, Set<Triple> initialColliders, Knowledge knowledge)	Recall unshielded triples in a given graph.
static void	GraphUtils.removeNonSkeletonEdges(Graph graph, Knowledge knowledge)	Removes non-skeleton edges from the given graph based on the provided knowledge.
static boolean	GraphUtils.repairMaximality(Graph pag, boolean verbose, Set<Node> selection, FciOrient fciOrient, Knowledge knowledge, Set<Triple> knownColliders)	Repairs the maximality of a PAG (Partial Ancestral Graph) by ensuring that any inducing path between two nodes not currently adjacent in the graph results in an added non-directed edge.
static void	GraphTransforms.transformCpdagIntoDag(Graph graph, Knowledge knowledge, boolean verbose)	Transforms a completed partially directed acyclic graph (CPDAG) into a directed acyclic graph (DAG) by orienting the undirected edges in the CPDAG.

Uses of Knowledge in edu.cmu.tetrad.search

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

Modifier and Type	Method	Description
Knowledge	BfciScoreCheck.getKnowledge()	Returns the knowledge used in search.
Knowledge	FaskOrig.getKnowledge()	Deprecated. Getter for the field knowledge.
Knowledge	Fci.getKnowledge()	Retrieves the knowledge structure maintained by this instance.
Knowledge	Fges.getKnowledge()	Returns the background knowledge.
Knowledge	FgesMb.getKnowledge()	Returns the background knowledge.
Knowledge	GfciOld.getKnowledge()	Returns the knowledge used in search.
Knowledge	Icd.getKnowledge()	Retrieves the knowledge object associated with this instance.
Knowledge	MarkovCheck.getKnowledge()	Returns the knowledge object for the Markov checker.
Knowledge	Pcd.getKnowledge()	Retrieves the Knowledge object used by this method.
Knowledge	PcMb.getKnowledge()	Returns The knowledge used in search.
Knowledge	Rfci.getKnowledge()	Returns the knowledge used in search.
Knowledge	StarFci.getKnowledge()	Returns the background knowledge.
Knowledge	StarFciB.getKnowledge()	Returns the knowledge used in search.
Knowledge	StarFciC.getKnowledge()	Returns the knowledge used in search.
Knowledge	StarFciD.getKnowledge()	Returns the knowledge used in search.
Knowledge	StarFciKeepKnowledgeOrientations.getKnowledge()	Deprecated. Returns the knowledge used in search.
Knowledge	StarFciOriginal.getKnowledge()	Returns the knowledge used in search.

Methods in edu.cmu.tetrad.search with parameters of type Knowledge

Modifier and Type	Method	Description
static Set<Node>	RecursiveBlocking1.blockPathsRecursively(Graph graph, Node x, Node y, Set<Node> containing, Set<Node> notFollowed, int maxPathLength, Knowledge knowledge)	Variant of RecursiveBlocking1.blockPathsRecursively(Graph, Node, Node, Set, Set, int) that additionally accepts an optional Knowledge object.
static Set<Node>	RecursiveBlockingVerbose.blockPathsRecursively(Graph graph, Node x, Node y, Set<Node> containing, Set<Node> notFollowed, int maxPathLength, Knowledge knowledge)	Recursively blocks paths in a graph between two nodes under specified constraints.
static Set<Node>	RecursiveBlockingVerbose.blockPathsRecursivelyVerbose(Graph graph, Node x, Node y, Set<Node> containing, Set<Node> notFollowed, int maxPathLength, Knowledge knowledge, PrintStream out)	Blocks paths recursively between two nodes in a graph with detailed verbose tracing output.
static List<Edge>	CheckKnowledge.forbiddenViolations(Graph graph, Knowledge knowledge)	Returns a sorted list of edges that violate the given knowledge.
static Graph	PermutationSearch.getGraph(List<Node> nodes, Map<Node, Set<Node>> parents, Knowledge knowledge, boolean cpDag)	Constructs a graph given a specification of the parents for each node.
static Graph	PermutationSearch.getGraph(List<Node> nodes, Map<Node, Set<Node>> parents, Knowledge knowledge, boolean cpdag, boolean replicating)	Constructs a graph given a specification of the parents for each node.
static Graph	PermutationSearchTopK.getGraph(List<Node> nodes, Map<Node, Set<Node>> parents, Knowledge knowledge, boolean cpDag)	Constructs a graph given a specification of the parents for each node, with graph replication disabled.
static Graph	PermutationSearchTopK.getGraph(List<Node> nodes, Map<Node, Set<Node>> parents, Knowledge knowledge, boolean cpdag, boolean replicating)	Constructs a graph given a specification of the parents for each node.
Cdnod.Builder	Cdnod.Builder.knowledge(Knowledge k)	Sets the knowledge object for the builder.
CdnodBoss.Builder	CdnodBoss.Builder.knowledge(Knowledge k)	Sets the Knowledge instance to be used by the Builder.
static List<Edge>	CheckKnowledge.requiredViolations(Graph graph, Knowledge knowledge)	Returns a sorted list of edges that are required by knowledge but which do not appear in the graph.
void	BfciBryan.setKnowledge(Knowledge knowledge)	Sets the knowledge to use in search.
void	BfciBryanScore.setKnowledge(Knowledge knowledge)	Sets the knowledge to use in search.
void	BfciScoreCheck.setKnowledge(Knowledge knowledge)	Sets the knowledge to use in search.
void	Boss.setKnowledge(Knowledge knowledge)	Sets the knowledge to be used for the search.
void	BossCcd.setKnowledge(Knowledge knowledge)	Set background knowledge (forbidden directed edges only, as in CCD).
void	BossTopK.setKnowledge(Knowledge knowledge)	Sets the knowledge to be used for the search.
void	Ccd.setKnowledge(Knowledge knowledge)	Set background knowledge (forbidden edges).
void	DirectLingam.setKnowledge(Knowledge knowledge)	Sets background knowledge.
void	Fas.setKnowledge(Knowledge knowledge)	Sets the knowledge object used in the conditional independence search process.
void	Fasd.setKnowledge(Knowledge knowledge)	Sets the knowledge for this object.
void	Fask.setKnowledge(Knowledge knowledge)	Sets the prior knowledge for the FASK algorithm.
void	FaskOrig.setKnowledge(Knowledge knowledge)	Deprecated. Setter for the field knowledge.
void	FaskPool.setKnowledge(Knowledge knowledge)	Sets background knowledge for the search.
void	FaskVote.setKnowledge(Knowledge knowledge)	Sets background knowledge for the search.
void	Fci.setKnowledge(Knowledge knowledge)	Sets the knowledge structure to be used or modified by the algorithm.
void	Fcit.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	Fcit2.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitKeepKnowledgeOrientations.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitMagMarkov.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitMarkov.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitSl.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitSl2.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitSlKeepKnowledgeOrientations.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitSlScoreCheck.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitZm.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitZm2.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	FcitZmKeepKnowledgeOrientations.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	Fges.setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	FgesMb.setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	GfciOld.setKnowledge(Knowledge knowledge)	Sets the knowledge to use in search.
void	Gmas.setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	Grasp.setKnowledge(Knowledge knowledge)	Sets the knowledge used in the search.
void	Icd.setKnowledge(Knowledge knowledge)	Sets the knowledge object for the algorithm execution.
void	IFas.setKnowledge(Knowledge knowledge)	Sets the background knowledge to be used during the search process.
void	Ion.setKnowledge(Knowledge knowledge)	Sets the knowledge to be used for this search.
void	LatentParentRecovery.setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	LvHeuristic.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	MarkovCheck.setKnowledge(Knowledge knowledge)	Sets the knowledge object for the Markov checker.
void	MimbuildTrek.setKnowledge(Knowledge knowledge)	Deprecated. The knowledge to use in the search.
void	Pairwise.setKnowledge(Knowledge knowledge)	Sets the knowledge for the object.
void	Pc.setKnowledge(Knowledge knowledge)	Sets the knowledge object for this instance by creating a new instance based on the provided knowledge.
void	PcAR.setKnowledge(Knowledge knowledge)	Sets the knowledge object for this instance by creating a new instance based on the provided knowledge.
void	Pcd.setKnowledge(Knowledge knowledge)	Sets the knowledge object used by this method.
void	PcMb.setKnowledge(Knowledge knowledge)	Sets knowledge, to which the algorithm is in fact sensitive.
void	PermutationSearch.setKnowledge(Knowledge knowledge)	Sets the knowledge to be used for the search.
void	PermutationSearchTopK.setKnowledge(Knowledge knowledge)	Sets the knowledge to be used for the search.
void	PooledAdjacencySearch.setKnowledge(Knowledge knowledge)	Sets background knowledge, passed to the IMaGES and pooled-FAS stages.
void	Rfci.setKnowledge(Knowledge knowledge)	Sets the knowledge used in search.
void	Rlcd.setKnowledge(Knowledge knowledge)	Sets background knowledge over the observed variables.
void	Sp.setKnowledge(Knowledge knowledge)	Sets the knowledge associated with this object.
void	StarFci.setKnowledge(Knowledge knowledge)	Sets the background knowledge used by the initial search and by orientation.
void	StarFciB.setKnowledge(Knowledge knowledge)	Sets the knowledge to use in search.
void	StarFciC.setKnowledge(Knowledge knowledge)	Sets the knowledge to use in search.
void	StarFciD.setKnowledge(Knowledge knowledge)	Sets the knowledge to use in search.
void	StarFciKeepKnowledgeOrientations.setKnowledge(Knowledge knowledge)	Deprecated. Sets the knowledge to use in search.
void	StarFciOriginal.setKnowledge(Knowledge knowledge)	Sets the knowledge to use in search.
void	SuborderSearch.setKnowledge(Knowledge knowledge)	The knowledge being used.
void	SuborderSearchTopK.setKnowledge(Knowledge knowledge)	The knowledge being used.
void	VertexRepairSearch.setKnowledge(Knowledge knowledge)	Sets background knowledge constraints.

Uses of Knowledge in edu.cmu.tetrad.search.cdnod_pag

Constructors in edu.cmu.tetrad.search.cdnod_pag with parameters of type Knowledge

Modifier	Constructor	Description
	CdnodPag(DataSet dataAll, double alpha, ChangeTest changeTest, CdnodPag.PagBuilder pagBuilder, Function<Graph,Boolean> legalityCheck, Function<Graph,Graph> propagator, Knowledge knowledge)	Constructs an instance of the CdnodPag class with the specified parameters.

Uses of Knowledge in edu.cmu.tetrad.search.is

Methods in edu.cmu.tetrad.search.is that return Knowledge

Modifier and Type	Method	Description
Knowledge	IsGFci.getKnowledge()	Retrieves the Knowledge object associated with this instance.

Methods in edu.cmu.tetrad.search.is with parameters of type Knowledge

Modifier and Type	Method	Description
void	IsGFci.setKnowledge(Knowledge knowledge)	Sets the knowledge structure for the instance.

Uses of Knowledge in edu.cmu.tetrad.search.mimic

Methods in edu.cmu.tetrad.search.mimic that return Knowledge

Modifier and Type	Method	Description
Knowledge	MimicTrialResult.getKnowledge()	Returns the tier knowledge.
Knowledge	MimicModel.getTierKnowledge()	Returns knowledge placing all inputs in tier 0 and all outputs in tier 1.

Methods in edu.cmu.tetrad.search.mimic with parameters of type Knowledge

Modifier and Type	Method	Description
Graph	BossTrekMimicRunner.run(DataSet data, Knowledge knowledge, List<Node> inputs, List<Node> outputs, Parameters parameters)	Deprecated. Runs the search algorithm on the supplied measured data using the supplied knowledge and parameters.
Graph	DmRunner.run(DataSet data, Knowledge knowledge, List<Node> inputs, List<Node> outputs, Parameters parameters)	Runs the search algorithm on the supplied measured data using the supplied knowledge and parameters.
Graph	MimicSearchRunner.run(DataSet data, Knowledge knowledge, List<Node> inputs, List<Node> outputs, Parameters parameters)	Runs the search algorithm on the supplied measured data using the supplied knowledge and parameters.
Graph	TrekMimicRunner.run(DataSet data, Knowledge knowledge, List<Node> inputs, List<Node> outputs, Parameters parameters)	Runs the search algorithm on the supplied measured data using the supplied knowledge and parameters.
void	BossTrekMimic.setKnowledge(Knowledge knowledge)	Deprecated. Sets the knowledge.
void	Dm.setKnowledge(Knowledge knowledge)	Sets optional background knowledge.
void	DmPcHybrid.setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	DmPcRobust.setKnowledge(Knowledge knowledge)	Sets the knowledge constraints for the algorithm.
void	TrekMeasurementModelBuilderBoss.setKnowledge(Knowledge knowledge)	Sets background knowledge forwarded to BOSS.
void	TrekMeasurementModelBuilderPc.setKnowledge(Knowledge knowledge)	Sets the knowledge.
void	TrekMimic.setKnowledge(Knowledge knowledge)	Sets the knowledge.

Constructors in edu.cmu.tetrad.search.mimic with parameters of type Knowledge

Modifier	Constructor	Description
	DmPcRobust(IndependenceTest test, Knowledge knowledge)	Constructs a new instance of the DmPcRobust class using the specified independence test and prior knowledge.
	MimicTrialResult(MimicModel trueModel, DataSet measuredData, Knowledge knowledge, Map<String,Graph> estimatedGraphs, Map<String, MimicEvaluation> evaluations, Map<String, LatentLatentEvaluator.Report> latentLatentReports)	Constructs a new trial result.

Uses of Knowledge in edu.cmu.tetrad.search.rlcd

Methods in edu.cmu.tetrad.search.rlcd with parameters of type Knowledge

Modifier and Type	Method	Description
static String[]	TierPrecedence.findViolation(Knowledge knowledge, Collection<String> ancestors, Collection<String> descendants)	Whether some member of ancestors is in a strictly later tier than some member of descendants.
static boolean	TierPrecedence.isLater(Knowledge knowledge, String later, String earlier)	Whether knowledge places later in a strictly later tier than earlier, in the main tiers or in some additional tier structure, so that later cannot be an ancestor of earlier.
void	LatentGroups.setKnowledge(Knowledge knowledge)	Sets background knowledge over the observed variables; see LatentGroups.addCluster(Set, List, int, List).
void	RlcdClusterSearch.setKnowledge(Knowledge knowledge)	Sets background knowledge over the observed variables.

Uses of Knowledge in edu.cmu.tetrad.search.utils

Methods in edu.cmu.tetrad.search.utils that return Knowledge

Modifier and Type	Method	Description
Knowledge	R0R4Strategy.getknowledge()	Returns the knowledge object used by the strategy.
Knowledge	R0R4StrategyTestBased.getknowledge()	Retrieves the Knowledge object used by the FciOrientDataExaminationStrategy.
Knowledge	BesPermutation.getKnowledge()	Returns the knowledge that BES will use.
Knowledge	FgesOrienter.getKnowledge()	Getter for the field knowledge.
Knowledge	MagToPag.getKnowledge()	Getter for the field knowledge.
Knowledge	PossibleDsepFci.getKnowledge()	Getter for the field knowledge.
Knowledge	ShiftSearch.getKnowledge()	Getter for the field knowledge.
Knowledge	TsDagToPag.getKnowledge()	Getter for the field knowledge.
static Knowledge	TsUtils.getKnowledge(Graph graph)	getKnowledge.

Methods in edu.cmu.tetrad.search.utils with parameters of type Knowledge

Modifier and Type	Method	Description
static SeedMarkovCheck.Result	SeedMarkovCheck.check(Graph seedPag, Graph trueDag, Knowledge knowledge, int recursiveDepth, int sepsetMaxDepth, boolean checkColliders)	Does the check.
static DataSet	TsUtils.createLagData(DataSet data, int numLags, Knowledge knowledge)	Creates a new time series dataset from the given one, expanding the provided within-lag Knowledge across all time lags.
static R0R4Strategy	R0R4StrategyTestBased.defaultConfiguration(Graph dag, Knowledge knowledge)	Returns a default configuration of the FciOrientDataExaminationStrategy object.
static R0R4Strategy	R0R4StrategyTestBased.defaultConfiguration(IndependenceTest test, Knowledge knowledge)	Returns a default configuration of the FciOrientDataExaminationStrategy object.
static boolean	TsDagToPag.existsInducingPathInto(Node x, Node y, Graph graph, Knowledge knowledge)	existsInducingPathInto.
static boolean	TsDagToPag.existsInducingPathVisitts(Graph graph, Node a, Node b, Node x, Node y, LinkedList<Node> path, Knowledge knowledge)	existsInducingPathVisitts.
void	FciOrient.fciOrientbk(Knowledge bk, Graph graph, List<Node> variables, boolean excludeSelectionBias)	Orient the edges of a graph based on the given knowledge.
static R0R4StrategyTestBased	MagToPag.getFinalStrategyUsingDsep(Graph mag, Knowledge knowledge, boolean verbose, Map<Node, Set<Node>> ancestorCache)	Returns the final strategy for finding a PAG using D-SEP.
static boolean	FciOrient.isArrowheadAllowed(Node x, Node y, Graph graph, Knowledge K)	Determines if an arrowhead can be placed at node Y in the given graph, based on the adjacency relationships, endpoint types, and any provided prior knowledge constraints.
static boolean	GraphSearchUtils.isArrowheadAllowed(Object from, Object to, Knowledge knowledge)	Checks if an arrowhead is allowed by background knowledge.
static PagLegalityCheck.LegalPagRet	PagLegalityCheck.isLegalPagModuloKnowledge(Graph pag, Set<Node> selection, Knowledge knowledge, FciOrient orient, boolean excludeSelectionBias)	Legality certificate for a PAG that carries background-knowledge endpoint marks: legal PAG *modulo background knowledge*.
static void	GraphSearchUtils.orientCollidersUsingSepsets(SepsetMap set, Knowledge knowledge, Graph graph, boolean verbose, boolean enforceCpdag)	Step C of PC; orients colliders using specified sepset.
static void	GraphSearchUtils.pcdOrientC(IndependenceTest test, Knowledge knowledge, Graph graph)	Performs step C of the algorithm, as indicated on page xxx of CPS, with the modification that X--W--Y is oriented as X-->W<--Y if W is *determined by* the sepset of (X, Y), rather than W just being *in* the sepset of (X, Y).
static void	GraphSearchUtils.pcOrientbk(Knowledge bk, Graph graph, List<Node> nodes, boolean verbose)	Orients according to background knowledge.
void	Bes.setKnowledge(Knowledge knowledge)	Sets the knowledge for the search.
void	BesPermutation.setKnowledge(Knowledge knowledge)	Sets the knowledge that BES will use.
void	FciOrient.setKnowledge(Knowledge knowledge)	Sets the knowledge to use for the final orientation.
void	FgesOrienter.setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	MagToPag.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
void	MeekRules.setKnowledge(Knowledge knowledge)	Sets the knowledge to be used in the orientation.
void	PossibleDsepFci.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
void	R0R4Strategy.setKnowledge(Knowledge knowledge)	Sets the knowledge object to be used by the strategy.
void	R0R4StrategyTestBased.setKnowledge(Knowledge knowledge)	Sets the knowledge object used by the FciOrientDataExaminationStrategy.
void	ShiftSearch.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
void	TeyssierScorer.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
void	TsDagToPag.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
static R0R4Strategy	R0R4StrategyTestBased.specialConfiguration(IndependenceTest test, Knowledge knowledge, boolean verbose)	Provides a special configuration for creating an instance of FciOrientDataExaminationStrategy.

Constructors in edu.cmu.tetrad.search.utils with parameters of type Knowledge

Modifier	Constructor	Description
	DagInCpcagIterator(Graph CPDAG, Knowledge knowledge)	The given CPDAG must be a CPDAG.
	DagInCpcagIterator(Graph CPDAG, Knowledge knowledge, boolean allowArbitraryOrientations, boolean allowNewColliders)	The given CPDAG must be a CPDAG.
	SepsetsPossibleDsep(Graph graph, IndependenceTest test, Knowledge knowledge, int depth, int maxDiscriminatingPathLength)	Constructor for SepsetsPossibleDsep.

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

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

Modifier and Type	Method	Description
Knowledge	FasDci.getKnowledge()	Getter for the field knowledge.
Knowledge	HbsmsBeam.getKnowledge()	Getter for the field knowledge.
Knowledge	HbsmsGes.getKnowledge()	Getter for the field knowledge.
Knowledge	Kpc.getKnowledge()	Deprecated. Getter for the field knowledge.
Knowledge	Mmhc.getKnowledge()	Getter for the field knowledge.
Knowledge	SampleVcpc.getKnowledge()	Getter for the field knowledge.
Knowledge	SampleVcpcFast.getKnowledge()	Getter for the field knowledge.
Knowledge	VcFas.getKnowledge()	Getter for the field knowledge.
Knowledge	VcPc.getKnowledge()	Getter for the field knowledge.
Knowledge	VcPcAlt.getKnowledge()	Getter for the field knowledge.
Knowledge	VcPcFast.getKnowledge()	Getter for the field knowledge.

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

Modifier and Type	Method	Description
static boolean	SampleVcpcFast.isArrowheadAllowed1(Node from, Node to, Knowledge knowledge)	isArrowheadAllowed1.
static boolean	VcPc.isArrowheadAllowed1(Node from, Node to, Knowledge knowledge)	isArrowheadAllowed1.
void	FasDci.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
void	GraspTol.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
void	Hbsms.setKnowledge(Knowledge knowledge)	setKnowledge.
void	HbsmsBeam.setKnowledge(Knowledge knowledge)	setKnowledge.
void	HbsmsGes.setKnowledge(Knowledge knowledge)	setKnowledge.
void	Kpc.setKnowledge(Knowledge knowledge)	Deprecated. Sets the knowledge specification to be used in the search.
void	Mmhc.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
void	SampleVcpc.setKnowledge(Knowledge knowledge)	Sets the knowledge specification used in the search.
void	SampleVcpcFast.setKnowledge(Knowledge knowledge)	Sets the knowledge specification used in the search.
void	VcFas.setKnowledge(Knowledge knowledge)	Setter for the field knowledge.
void	VcPc.setKnowledge(Knowledge knowledge)	Sets the knowledge specification used in the search.
void	VcPcAlt.setKnowledge(Knowledge knowledge)	Sets the knowledge specification used in the search.
void	VcPcFast.setKnowledge(Knowledge knowledge)	Sets the knowledge specification used in the search.

Constructors in edu.cmu.tetrad.search.work_in_progress with parameters of type Knowledge

Modifier	Constructor	Description
	HbsmsBeam(Graph graph, CovarianceMatrix cov, Knowledge knowledge)	Constructor for HbsmsBeam.
	HbsmsBeam(Graph graph, DataSet data, Knowledge knowledge)	Constructor for HbsmsBeam.

Uses of Knowledge in edu.cmu.tetrad.sem

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

Modifier and Type	Method	Description
Knowledge	LargeScaleSimulation.getKnowledge(Graph graph)	getKnowledge.

Uses of Knowledge in edu.cmu.tetrad.study.performance

Methods in edu.cmu.tetrad.study.performance that return Knowledge

Modifier and Type	Method	Description
static Knowledge	Comparison2.getKnowledge(Graph graph)	getKnowledge.

Uses of Knowledge in edu.cmu.tetrad.util

Methods in edu.cmu.tetrad.util with parameters of type Knowledge

Modifier and Type	Method	Description
@NotNull Graph	PagCache.getPag(Graph g, Knowledge knowledge, boolean excludeSelectionBias, int recursiveDepth)	Retrieves or computes a PAG (Partial Ancestral Graph) from the given input graph.

Uses of Knowledge in edu.pitt.dbmi.algo.bayesian.constraint.search

Methods in edu.pitt.dbmi.algo.bayesian.constraint.search with parameters of type Knowledge

Modifier and Type	Method	Description
void	PagSamplingRfci.setKnowledge(Knowledge knowledge)	Set the knowledge.