Uses of Interface
edu.cmu.tetrad.search.score.Score

Packages that use Score

Package	Description
edu.cmu.tetrad.algcomparison.score
edu.cmu.tetrad.search	Contains classes for searching for (mostly structural) causal models given data.
edu.cmu.tetrad.search.score	Contains classes for various sorts of scores for running score-based algorithms.
edu.cmu.tetrad.search.test	Contains classes for running conditional independence tests for various sorts of data.
edu.cmu.tetrad.search.utils	Contains some utility classes for search algorithms.
edu.cmu.tetrad.search.work_in_progress	Contains some classes that aren't ready for prime time.

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

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

Modifier and Type	Method	Description
Score	BdeuScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	ConditionalGaussianBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	DegenerateGaussianBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	DiscreteBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	EbicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	FisherZScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	GicScores.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	MagSemBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	MSeparationScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	MVPBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	PoissonPriorScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	PositiveCorrScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	ScoreWrapper.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	SemBicScore.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	SemBicScoreDeterministic.getScore(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
Score	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 Score

Modifier and Type	Method	Description
Score	Boss.getScore()	Returns the score being used for the search.
Score	Sp.getScore()	Retrieves the score associated with this object.
Score	SuborderSearch.getScore()	The score being used.

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

Modifier	Constructor	Description
	BFci(IndependenceTest test, Score score)	Constructor.
	Boss(Score score)	This algorithm will work with an arbitrary BIC score.
	DirectLingam(DataSet dataset, Score score)	Constructor.
	Fask(DataSet dataSet, Score score, IndependenceTest test)	Constructor.
	Fges(Score score)	Constructor.
	FgesMb(Score score)	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.
	Grasp(@NotNull Score score)	Constructor for a score.
	GraspFci(IndependenceTest test, Score score)	Constructs a new GraspFci object.
	LvLite(Score score)	LvLite constructor.
	Sp(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.
	SvarFges(Score score)	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.score

Modifier and Type	Interface	Description
interface	DiscreteScore	Gives an interface that can be used by various discrete scores.

Classes in edu.cmu.tetrad.search.score that implement Score

Modifier and Type	Class	Description
class	BdeScore	Calculates the BDe score (Bayes Dirichlet Equivalent) score for analyzing discrete multinomial data.
class	BdeuScore	Calculates the BDeu score, which the BDe (Bayes Dirichlet Equivalent) score with uniform priors.
class	ConditionalGaussianScore	Implements a conditional Gaussian BIC score for FGS, which calculates a BIC score for mixed discrete/Gaussian data using the conditional Gaussian likelihood function (see).
class	DegenerateGaussianScore	=This implements the degenerate Gaussian BIC score for FGES.
class	DiscreteBicScore	Calculates the discrete BIC score.
class	EbicScore	Implements the extended BIC (EBIC) score.
class	GicScores	Implements scores motivated by the Generalized Information Criterion (GIC) approach as given in Kim et al.
class	GraphScore	Implements a pscudo-"score" that implmenets implements Chickering and Meek's (2002) locally consistent score criterion.
class	ImagesScore	Implements a score to average results over multiple scores.
class	IndTestScore	Gives a method of interpreting a test as a score.
class	MvpScore	Implements a mixed variable polynomial BIC score.
class	PoissonPriorScore	Implements Poisson prior score, a novel (unpubished) score that replaces the penalty term in BIC by the log of the Poisson distribution.
class	SemBicScore	Implements the linear, Gaussian BIC score, with a 'penalty discount' multiplier on the BIC penalty.
class	ZsbScore	Implements 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 Score

Modifier	Constructor	Description
	ImagesScore(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 Score

Modifier and Type	Method	Description
Score	ScoreIndTest.getWrappedScore()	Returns the score object that this test wraps.

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

Modifier	Constructor	Description
	ScoreIndTest(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.utils

Modifier and Type	Interface	Description
interface	HasPenaltyDiscount	Provides 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 Score

Modifier and Type	Method	Description
static void	LogUtilsSearch.stampWithScore(Graph graph, Score score)	stampWithScore.

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

Modifier	Constructor	Description
	Bes(@NotNull Score score)	Constructs the search.
	BesPermutation(@NotNull Score score)	Constructor.
	GrowShrinkTree(Score score, Map<Node,Integer> index, Node node)	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 Score

Modifier and Type	Class	Description
class	MagSemBicScore	Gives a BIC score for a linear, Gaussian MAG (Mixed Ancestral Graph).
class	MnlrScore	Implements a mixed variable polynomial BIC score for fGES.
class	SemBicScoreDeterministic	Implements the continuous BIC score for FGES.

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

Modifier	Constructor	Description
	GraspTol(@NotNull IndependenceTest test, Score score)	Constructor for GraspTol.
	GraspTol(@NotNull Score score)	Constructor for GraspTol.