Uses of Interface
edu.cmu.tetrad.search.score.Score
Packages that use Score
Package
Description
Contains classes for searching for (mostly structural) causal models given data.
Contains classes for various various sorts of scores for running score-based algorithms.
Contains classes for running conditional independence tests for various sorts of data.
Contains some utility classes for search algorithms.
Contains some classes that aren't 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 TypeMethodDescriptionBdeuScore.getScore(DataModel dataSet, Parameters parameters) CciScore.getScore(DataModel dataSet, Parameters parameters) ConditionalGaussianBicScore.getScore(DataModel dataSet, Parameters parameters) DegenerateGaussianBicScore.getScore(DataModel dataSet, Parameters parameters) DiscreteBicScore.getScore(DataModel dataSet, Parameters parameters) EbicScore.getScore(DataModel dataSet, Parameters parameters) FisherZScore.getScore(DataModel dataSet, Parameters parameters) GicScores.getScore(DataModel dataSet, Parameters parameters) MagSemBicScore.getScore(DataModel dataSet, Parameters parameters) MSeparationScore.getScore(DataModel dataSet, Parameters parameters) MVPBicScore.getScore(DataModel dataSet, Parameters parameters) PoissonPriorScore.getScore(DataModel dataSet, Parameters parameters) PositiveCorrScore.getScore(DataModel dataSet, Parameters parameters) 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) SemBicScoreDeterministic.getScore(DataModel dataSet, Parameters parameters) ZhangShenBoundScore.getScore(DataModel dataSet, Parameters parameters) -
Uses of Score in edu.cmu.tetrad.search
Methods in edu.cmu.tetrad.search that return ScoreModifier and TypeMethodDescriptionBoss.getScore()Sp.getScore()SuborderSearch.getScore()The score being used.Constructors in edu.cmu.tetrad.search with parameters of type ScoreModifierConstructorDescriptionBFci(IndependenceTest test, Score score) Constructor.This algorithm will work with an arbitrary BIC score.DirectLingam(DataSet dataset, Score score) Constructor.Fask(DataSet dataSet, Score score, IndependenceTest test) Constructor.Constructor.Constructor.GFci(IndependenceTest test, Score score) Constructs a new GFci algorithm with the given independence test and score.Grasp(@NotNull IndependenceTest test, Score score) Constructor that takes both a test and a score; only one is used-- the parameter setting will decide which.Constructor for a score.GraspFci(IndependenceTest test, Score 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.Construct a Score and pass it in here.SvarGfci(IndependenceTest test, Score score) Constructs a new GFCI search for the given independence test and background knowledge. -
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.Classes in edu.cmu.tetrad.search.score that implement ScoreModifier and TypeClassDescriptionclassCalculates 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.classImplements a conditional Gaussian BIC score for FGS, which calculates a BIC score for mixed discrete/Gaussian data using the conditional Gaussian likelihood function (see).classThis implements the degenerate Gaussian BIC score for FGES.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.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) ScoreIndTest(Score score, DataModel data) -
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.Constructors in edu.cmu.tetrad.search.utils with parameters of type ScoreModifierConstructorDescriptionBesPermutation(@NotNull Score score) Constructor.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).classImplements a mixed variable polynomial BIC score for fGES.classImplements the continuous BIC score for FGES.Constructors in edu.cmu.tetrad.search.work_in_progress with parameters of type ScoreModifierConstructorDescriptionGraspTol(@NotNull IndependenceTest test, Score score) OtherPermAlgs(@NotNull IndependenceTest test, Score score) OtherPermAlgs(@NotNull Score score)