Package edu.cmu.tetrad.search.score

package edu.cmu.tetrad.search.score

This package contains classes for scoring causal graph models.

Related Packages

Package	Description
edu.cmu.tetrad.search	This package contains classes for causal graph search algorithms.

Class	Description
AdditiveLocalScorer	Interface for scoring a target node in a graphical model based on its local structure, specifically under an additive scoring framework.
BasisFunctionBicScore	Calculates the basis function BIC score for a given dataset.
BasisFunctionBicScoreFullSample	Calculates the basis function BIC score for a given dataset.
BdeScore	Calculates the BDe score (Bayes Dirichlet Equivalent) score for analyzing discrete multinomial data.
BDeuScore	Calculates the BDeu score, which the BDe (Bayes Dirichlet Equivalent) score with uniform priors.
BlocksBicScore	Deprecated.
BlockScore	Tagging interface for scores over blocks of variables.
CamAdditivePsplineBic	CAM scorer using penalized cubic B-splines (P-splines; Eilers & Marx).
ConditionalGaussianLikelihood	Implements a conditional Gaussian likelihood.
ConditionalGaussianLikelihood.Ret	Gives return value for a conditional Gaussian likelihood, returning a likelihood value and the degrees of freedom for it.
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.
DegenerateGaussianScore	=This implements the degenerate Gaussian BIC score for FGES.
DiscreteBicScore	Calculates the discrete BIC score.
DiscreteBicScoreAdTree	Calculates the discrete BIC score.
DiscreteScore	Gives an interface that can be used by various discrete scores.
EbicScore	Implements the extended BIC (EBIC) score.
GicScores	Implements scores motivated by the Generalized Information Criterion (GIC) approach as given in Kim et al.
GicScores.RuleType	Gives the options for the rules to use for calculating the scores.
GraphScore	Implements a pscudo-"score" that implmenets implements Chickering and Meek's (2002) locally consistent score criterion.
ImagesScore	Implements a score to average results over multiple scores.
IndTestScore	Gives a method of interpreting a test as a score.
InstanceAugmentedSemBicScore	Instance-augmented SEM-BIC score for continuous data.
InstanceSpecificScore	Marker interface for scores that include an instance-specific component.
IsBDeuScore	Instance-Specific BDeu score (discrete), following the Dirichlet–multinomial posterior predictive for the chosen instance (Fattaneh's construction).
MvpLikelihood	Calculates Mixed Variables Polynomial likelihood.
MvpScore	Implements a mixed variable polynomial BIC score.
PoissonPriorScore	Implements Poisson prior score, a novel (unpubished) score that replaces the penalty term in BIC by the log of the Poisson distribution.
Score	Interface for a score.
ScoredGraph	Stores a graph with a score for the graph.
SemBicScore	Implements the linear, Gaussian BIC score, with a 'penalty discount' multiplier on the BIC penalty.
SemBicScore.CovAndCoefs	Represents a covariance matrix and regression coefficients.
SemBicScore.LikelihoodResult	A record that encapsulates the result of a likelihood computation.
SemBicScore.RuleType	Gives two options for calculating the BIC score, one describe by Chickering and the other due to Nandy et al.
SemBicScorer	Scores an entire DAG using the SemBicScore.
ZsbScore	Implements an unpublished score based on a risk bound due to Zhang and Shen.