Uses of Interface
edu.cmu.tetrad.search.score.Score
Packages that use Score
Package
Description
This package contains classes for causal graph search algorithms.
This package contains classes for scoring causal graph models.
This package contains classes for testing causal graph search algorithms.
This package contains utility classes for causal graph search algorithms.
A package for algorithms that are not ready for prime time.
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Uses of Score in edu.cmu.tetrad.algcomparison.score
Methods in edu.cmu.tetrad.algcomparison.score that return ScoreModifier and TypeMethodDescriptionBasisFunctionBicScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.BdeuScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.BlocksBicScore.getScore(DataModel model, Parameters parameters) Computes and returns a score based on the provided data model and parameter settings.BlockScoreWrapper.getScore(DataModel model, Parameters parameters) Computes and returns a score for the given data model and parameters.ConditionalGaussianBicScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.DegenerateGaussianBicScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.DiscreteBicScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.EbicScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.GicScores.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.InstanceAugmentedSemBicScoreWrapper.getScore(DataModel dataModel, Parameters parameters) Computes the score for a given data model and set of parameters.IsBDeuScoreWrapper.getScore(DataModel dataModel, Parameters parameters) Calculates and returns a score for the given data model and associated parameters.MagDgBicScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.MSepScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.MVPBicScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.PoissonPriorScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.RankBicScore.getScore(DataModel dataModel, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.ScoreWrapper.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.SemBicScore.getScore(DataModel dataSet, Parameters parameters) Returns true, iff x and y are independent, conditional on z for the given data set.ZhangShenBoundScore.getScore(DataModel dataSet, Parameters parameters) Calculates the score based on the given data set and parameters. -
Uses of Score in edu.cmu.tetrad.search
Methods in edu.cmu.tetrad.search that return ScoreModifier and TypeMethodDescriptionBoss.getScore()Returns the score being used for the search.Sp.getScore()Retrieves the score associated with this object.SuborderSearch.getScore()The score being used.Constructors in edu.cmu.tetrad.search with parameters of type ScoreModifierConstructorDescriptionThis algorithm will work with an arbitrary BIC score.BossFci(IndependenceTest test, Score score) Constructor.BOSS-POD constructor.DirectLingam(DataSet dataset, Score score) Constructor.Constructs a new Fask instance with the specified data set and score.FaskOrig(DataSet dataSet, Score score, IndependenceTest test) Constructor.Fcit(IndependenceTest test, Score score) FCIT constructor.Constructor.FgesFci(IndependenceTest test, Score score) Constructs a new GFci algorithm with the given independence test and score.Constructor.Gfci(IndependenceTest test, Score score) Constructs a new GFci algorithm with the given independence test and score.Constructor for a score.Grasp(IndependenceTest test, Score score) Constructor that takes both a test and a score; only one is used-- the parameter setting will decide which.GraspFci(IndependenceTest test, Score score) Constructs a new GraspFci object.Constructs an instance of the IsFges class with the specified instance-specific score and population score.IsGFci(IndependenceTest test, IsScore score, Score populationScore) Constructs an instance of IGFci with the provided independence test and score.This algorithm will work with an arbitrary score.SpFci(IndependenceTest test, Score score) Constructor; requires by ta test and a score, over the same variables. -
Uses of Score in edu.cmu.tetrad.search.score
Subinterfaces of Score in edu.cmu.tetrad.search.scoreModifier and TypeInterfaceDescriptioninterfaceGives an interface that can be used by various discrete scores.interfaceMarker interface for scores that include an instance-specific component.Classes in edu.cmu.tetrad.search.score that implement ScoreModifier and TypeClassDescriptionclassCalculates the basis function BIC score for a given dataset.classCalculates the basis function BIC score for a given dataset.classCalculates the BDe score (Bayes Dirichlet Equivalent) score for analyzing discrete multinomial data.classCalculates the BDeu score, which the BDe (Bayes Dirichlet Equivalent) score with uniform priors.classDeprecated.classImplements a conditional Gaussian BIC score for FGS, which calculates a BIC score for mixed discrete/Gaussian data using the conditional Gaussian likelihood function.class=This implements the degenerate Gaussian BIC score for FGES.classCalculates the discrete BIC score.classCalculates the discrete BIC score.classImplements the extended BIC (EBIC) score.classImplements scores motivated by the Generalized Information Criterion (GIC) approach as given in Kim et al.classImplements a pscudo-"score" that implmenets implements Chickering and Meek's (2002) locally consistent score criterion.classImplements a score to average results over multiple scores.classGives a method of interpreting a test as a score.final classInstance-augmented SEM-BIC score for continuous data.final classInstance-Specific BDeu score (discrete), following the Dirichlet–multinomial posterior predictive for the chosen instance (Fattaneh's construction).classImplements a mixed variable polynomial BIC score.classImplements Poisson prior score, a novel (unpubished) score that replaces the penalty term in BIC by the log of the Poisson distribution.classImplements the linear, Gaussian BIC score, with a 'penalty discount' multiplier on the BIC penalty.classImplements an unpublished score based on a risk bound due to Zhang and Shen.Constructor parameters in edu.cmu.tetrad.search.score with type arguments of type ScoreModifierConstructorDescriptionImagesScore(List<Score> scores) Constructs an IMaGES score using the given list of individual scores. -
Uses of Score in edu.cmu.tetrad.search.test
Methods in edu.cmu.tetrad.search.test that return ScoreModifier and TypeMethodDescriptionScoreIndTest.getWrappedScore()Returns the score object that this test wraps.Constructors in edu.cmu.tetrad.search.test with parameters of type ScoreModifierConstructorDescriptionScoreIndTest(Score score) Constructor for ScoreIndTest.ScoreIndTest(Score score, DataModel data) Constructor for ScoreIndTest. -
Uses of Score in edu.cmu.tetrad.search.utils
Subinterfaces of Score in edu.cmu.tetrad.search.utilsModifier and TypeInterfaceDescriptioninterfaceProvides an interface for an algorithm can can get/set a value for penalty disoucnt.Methods in edu.cmu.tetrad.search.utils with parameters of type ScoreModifier and TypeMethodDescriptionstatic voidLogUtilsSearch.stampWithScore(Graph graph, Score score) stampWithScore.Constructors in edu.cmu.tetrad.search.utils with parameters of type ScoreModifierConstructorDescriptionConstructs the search.BesPermutation(@NotNull Score score) Constructor.Constructor for GrowShrinkTree.TeyssierScorer(IndependenceTest test, Score score) Constructor that takes both a test or a score. -
Uses of Score in edu.cmu.tetrad.search.work_in_progress
Classes in edu.cmu.tetrad.search.work_in_progress that implement ScoreModifier and TypeClassDescriptionclassGives a BIC score for a linear, Gaussian MAG (Mixed Ancestral Graph).classGives a BIC score for a linear, Gaussian MAG (Mixed Ancestral Graph).classGives a BIC score for a linear, Gaussian MAG (Mixed Ancestral Graph).classImplements the continuous BIC score for FGES.Constructors in edu.cmu.tetrad.search.work_in_progress with parameters of type ScoreModifierConstructorDescriptionConstructor for GraspTol.GraspTol(@NotNull IndependenceTest test, Score score) Constructor for GraspTol.