Uses of Annotation Interface
edu.cmu.tetrad.annotation.General
Packages that use General
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Uses of General in edu.cmu.tetrad.algcomparison.independence
Classes in edu.cmu.tetrad.algcomparison.independence with annotations of type GeneralModifier and TypeClassDescriptionclassWrapper for BE-GCM (Basis-Expanded Generalised Covariance Measure Test).classWrapper for BF-LRT (Basis Function Likelihood Ratio Test).classWrapper for Daudin Conditional Independence test.classAnIndependenceWrapperthat runs the Fisher Z conditional independence test implemented in the Python causal-learn library, bridging it into Tetrad'sIndependenceTestframework.classAnIndependenceWrapperthat runs the Kernel-based Conditional Independence (KCI) test implemented in the Python causal-learn library, bridging it into Tetrad'sIndependenceTestframework.classAnIndependenceWrapperthat runs the Randomized Conditional Independence Test (RCIT) implemented in the Python causal-learn library, bridging it into Tetrad'sIndependenceTestframework.classWrapper for the CORD conditional independence test backed by Eric's engine (IndTestCordEric): an omnibus, orthogonal rank-score test of Y ⊥ Z | X that is sensitive to higher-moment, tail, and co-volatility dependence which a covariance-based test (e.g., Fisher Z) cannot see.classWrapper for FFCI test with a reduced parameter set.classWrapper for KCI test.classWrapper for KCI test.classWrapper for Minimax binning test.classWrapper for RCIT test.final classWrapper for the TRFF likelihood-ratio CI test built onTRffBicScore. -
Uses of General in edu.cmu.tetrad.algcomparison.score
Classes in edu.cmu.tetrad.algcomparison.score with annotations of type GeneralModifier and TypeClassDescriptionclassWrapper for BF-BGe, the BGe (Normal-Wishart marginal likelihood) score over the basis-function embedding that BF-BIC uses.classWrapper for Basis Function BIC Score (Basis-BIC) version.classWrapper for FF-ML MIxed Marginal Likelihood Score.classWrapper for Kernel Marginal Likelihood Score.classTheTRffBicScoreclass is a scoring mechanism designed to evaluate the fit and complexity of a data model.