Package edu.cmu.tetrad.search.score
package edu.cmu.tetrad.search.score
Contains classes for various sorts of scores for running score-based algorithms.
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ClassDescriptionCalculates the basis function BIC score for a given dataset.Calculates the BDe score (Bayes Dirichlet Equivalent) score for analyzing discrete multinomial data.Calculates the BDeu score, which the BDe (Bayes Dirichlet Equivalent) score with uniform priors.Implements a conditional Gaussian likelihood.Gives return value for a conditional Gaussian likelihood, returning a likelihood value and the degrees of freedom for it.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).=This implements the degenerate Gaussian BIC score for FGES.Calculates the discrete BIC score.Calculates the discrete BIC score.Gives an interface that can be used by various discrete scores.Implements the extended BIC (EBIC) score.Implements scores motivated by the Generalized Information Criterion (GIC) approach as given in Kim et al.Gives the options for the rules to use for calculating the scores.Implements a pscudo-"score" that implmenets implements Chickering and Meek's (2002) locally consistent score criterion.Implements a score to average results over multiple scores.Gives a method of interpreting a test as a score.Calculates Mixed Variables Polynomial likelihood.Implements a mixed variable polynomial BIC score.Implements Poisson prior score, a novel (unpubished) score that replaces the penalty term in BIC by the log of the Poisson distribution.Interface for a score.Stores a graph with a score for the graph.Implements the linear, Gaussian BIC score, with a 'penalty discount' multiplier on the BIC penalty.Represents a covariance matrix and regression coefficients.Gives two options for calculating the BIC score, one describe by Chickering and the other due to Nandy et al.Scores an entire DAG using the SemBicScore.Implements an unpublished score based on a risk bound due to Zhang and Shen.