Uses of Class
edu.cmu.tetrad.graph.IndependenceFact

Packages that use IndependenceFact

Package	Description
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.harness
edu.cmu.tetrad.search.is
edu.cmu.tetrad.search.test	This package contains classes for testing causal graph search algorithms.
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.

Uses of IndependenceFact in edu.cmu.tetrad.data

Methods in edu.cmu.tetrad.data that return types with arguments of type IndependenceFact

Modifier and Type	Method	Description
List<IndependenceFact>	IndependenceFacts.getFacts()	getFacts.

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

Modifier and Type	Method	Description
void	IndependenceFacts.add(IndependenceFact fact)	add.
void	IndependenceFacts.remove(IndependenceFact fact)	remove.

Uses of IndependenceFact in edu.cmu.tetrad.graph

Classes in edu.cmu.tetrad.graph that implement interfaces with type arguments of type IndependenceFact

Modifier and Type	Class	Description
final class	IndependenceFact	Stores a triple (x, y, z) of nodes.

Methods in edu.cmu.tetrad.graph that return IndependenceFact

Modifier and Type	Method	Description
static IndependenceFact	IndependenceFact.serializableInstance()	Generates a simple exemplar of this class to test serialization.

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

Modifier and Type	Method	Description
int	IndependenceFact.compareTo(IndependenceFact other)

Uses of IndependenceFact in edu.cmu.tetrad.search

Methods in edu.cmu.tetrad.search that return types with arguments of type IndependenceFact

Modifier and Type	Method	Description
List<IndependenceFact>	MarkovCheck.checkIndependenceForTargetNode(Node x)	Retrieves the list of local independence facts for a given node.
static Set<IndependenceFact>	MarkovCheck.computeAllImpliedFacts(Graph g, ConditioningSetType setType)	Computes all implied independence facts for the given graph based on the specified conditioning set type.
static Map<String, List<IndependenceFact>>	MarkovCheck.computeImpliedFactsByVertex(Graph graph, ConditioningSetType setType)	Computes the implied independence facts for EVERY vertex of graph at once, keyed by vertex name.
static List<IndependenceFact>	MarkovCheck.computeImpliedFactsForVertex(Graph graph, Node x, ConditioningSetType conditioningSetType)	Computes the implied independence facts for a given vertex within the specified graph based on the provided conditioning set type.
static List<IndependenceFact>	MarkovCheck.computeImpliedFactsForVertex(Graph graph, Node x, ConditioningSetType conditioningSetType, Graph preparedMag)	Variant of MarkovCheck.computeImpliedFactsForVertex(Graph, Node, ConditioningSetType) accepting a MAG prepared once per graph by MarkovCheck.prepareMagForVertexFacts(Graph, ConditioningSetType).
static List<IndependenceFact>	MarkovCheck.factsForUniformZ(Graph g, Node x, Set<Node> z)	Generates a list of independence facts for a given node with respect to a given graph and a conditioning set.
List<IndependenceFact>	MarkovCheck.AllSubsetsIndependenceFacts.getMconn()	Returns the set of m-connection facts.
static Set<IndependenceFact>	OrderedLocalMarkovProperty.getModel(Graph admg)	Computes the complete OLMP model for the given ADMG.
static Set<IndependenceFact>	OrderedLocalMarkovPropertySinkElimination.getModel(Graph mag)	Computes the ordered local Markov property for a maximal ancestral graph (MAG).
static Set<IndependenceFact>	PairwiseMarkovProperty.getModel(Graph admg)	Computes the pairwise Markov property for the given ADMG.
static Set<IndependenceFact>	OrderedLocalMarkovProperty.getModelForNode(Graph admg, Node x)	Returns the subset of OLMP independence facts that have x as one endpoint (i.e., facts of the form x ⊥ y | Z or y ⊥ x | Z), normalised so that x is always the left-hand (getX()) node.
static Set<IndependenceFact>	OrderedLocalMarkovPropertySinkElimination.getModelForNode(Graph mag, Node x)	Returns the subset of ordered-local-Markov independence facts whose "sink" is the given node x.
static Set<IndependenceFact>	PairwiseMarkovProperty.getModelForNode(Graph admg, Node x)	Returns the subset of pairwise independence facts that involve node x (as either the left or right endpoint), normalised so that x is always the left-hand (getX()) node.
List<IndependenceFact>	MarkovCheck.AllSubsetsIndependenceFacts.getMsep()	Returns the set of m-separation facts.

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

Modifier and Type	Method	Description
static String	VertexRepairSearch.factKey(IndependenceFact f)	Builds a canonical fact-key for deduplication.

Method parameters in edu.cmu.tetrad.search with type arguments of type IndependenceFact

Modifier and Type	Method	Description
WildBootstrapMarkovCheck.Result	WildBootstrapMarkovCheck.checkFacts(List<IndependenceFact> facts)	Run the joint wild-bootstrap check against an explicit list of independence facts.
List<Double>	MarkovCheck.getLocalPValues(IndependenceTest independenceTest, List<IndependenceFact> facts)	Calculates the local p-values for a given independence test and a list of independence facts.
List<List<Double>>	MarkovCheck.getLocalPValues(IndependenceTest independenceTest, List<IndependenceFact> facts, Double shuffleThreshold)	Get Local P values with shuffle threshold provided.

Constructor parameters in edu.cmu.tetrad.search with type arguments of type IndependenceFact

Modifier	Constructor	Description
	AllSubsetsIndependenceFacts(Set<IndependenceFact> msep, Set<IndependenceFact> mconn)	Constructor.

Uses of IndependenceFact in edu.cmu.tetrad.search.harness

Methods in edu.cmu.tetrad.search.harness that return types with arguments of type IndependenceFact

Modifier and Type	Method	Description
static Set<IndependenceFact>	GraphoidClosureHarness.computeClosure(Set<IndependenceFact> facts, List<Node> variables, GraphoidClosureHarness.ClosureType closure)	Computes the closure of a set of IndependenceFacts under the given graphoid assumption type, using the variables in the provided list as the full variable universe.

Method parameters in edu.cmu.tetrad.search.harness with type arguments of type IndependenceFact

Modifier and Type	Method	Description
static Set<IndependenceFact>	GraphoidClosureHarness.computeClosure(Set<IndependenceFact> facts, List<Node> variables, GraphoidClosureHarness.ClosureType closure)	Computes the closure of a set of IndependenceFacts under the given graphoid assumption type, using the variables in the provided list as the full variable universe.

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

Methods in edu.cmu.tetrad.search.is that return types with arguments of type IndependenceFact

Modifier and Type	Method	Description
Map<IndependenceFact, Double>	IndTestProbabilisticBDeu.getH()	Retrieves the cache of independence facts and their corresponding posterior probabilities.
Map<IndependenceFact, Double>	IndTestProbabilisticISBDeu.getH()	Retrieves an unmodifiable map of independence facts and their associated probabilities.

Uses of IndependenceFact in edu.cmu.tetrad.search.test

Methods in edu.cmu.tetrad.search.test that return IndependenceFact

Modifier and Type	Method	Description
IndependenceFact	IndependenceResult.getFact()	Returns the independence fact being stored.

Methods in edu.cmu.tetrad.search.test that return types with arguments of type IndependenceFact

Modifier and Type	Method	Description
Map<IndependenceFact, Double>	IndTestProbabilistic.getH()	Returns a map from independence facts to their posterior probabilities of independence.
List<IndependenceFact>	CachedIndependenceQueries.ImpliedFactProvider.impliedFactsForVertex(Node vertex)	Retrieves the list of implied IndependenceFact objects for the given vertex.

Methods in edu.cmu.tetrad.search.test with parameters of type IndependenceFact

Modifier and Type	Method	Description
static IndependenceResult	DiscreteIndependenceUtils.conditionalChiSquare(DataSet dataSet, List<Node> variables, List<Integer> rows, Node x, Node y, List<Node> z, IndependenceFact fact, double alpha)	Conditional chi-square test for X _||_ Y | Z, stratifying on Z value tuples.
CachedIndependenceQueries.Eval	CachedIndependenceQueries.eval(IndependenceFact fact)	Evaluates the independence fact using a cached or computed result.
boolean	CachedIndependenceQueries.isIndependent(IndependenceFact fact)	Determines whether the given IndependenceFact represents an independent state.
double	CachedIndependenceQueries.pValue(IndependenceFact fact)	Computes the p-value associated with a given independence fact by evaluating its statistical significance.

Method parameters in edu.cmu.tetrad.search.test with type arguments of type IndependenceFact

Modifier and Type	Method	Description
List<CachedIndependenceQueries.Eval>	CachedIndependenceQueries.evalAll(Collection<IndependenceFact> facts, CachedIndependenceQueries.Dedup dedup)	Evaluates a collection of independence facts and returns a list of evaluation results.
List<Double>	CachedIndependenceQueries.pValuesForFacts(Collection<IndependenceFact> facts, CachedIndependenceQueries.Dedup dedup)	Computes the p-values for a collection of independence facts after evaluating them.

Constructors in edu.cmu.tetrad.search.test with parameters of type IndependenceFact

Modifier	Constructor	Description
	IndependenceResult(IndependenceFact fact, boolean indep, double pValue, double score)	Constructor.
	IndependenceResult(IndependenceFact fact, boolean indep, double pValue, double score, boolean isValid)	Constructor.

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

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

Modifier and Type	Method	Description
static int	PerFactEss.effectiveSampleSize(DataSet data, int[] blockIds, IndependenceFact fact)	Computes the per-fact effective sample size for X _||_ Y | Z under the given block structure.

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

Methods in edu.cmu.tetrad.search.work_in_progress that return types with arguments of type IndependenceFact

Modifier and Type	Method	Description
Map<IndependenceFact, Double>	ProbabilisticMapIndependence.getH()	getH.