Uses of Interface
edu.cmu.tetrad.search.RawMarginalIndependenceTest
Packages that use RawMarginalIndependenceTest
Package
Description
This package contains classes for causal graph search algorithms.
This package contains classes for testing causal graph search algorithms.
-
Uses of RawMarginalIndependenceTest in edu.cmu.tetrad.search
Constructors in edu.cmu.tetrad.search with parameters of type RawMarginalIndependenceTestModifierConstructorDescriptionTginOrientationStages(Graph graph, List<Node> allLatents, Map<Node, Node> nodeMap, DataSet dataSet, double alpha, int sampleSize, RawMarginalIndependenceTest hsic) Constructs a new instance of TginOrientationStages. -
Uses of RawMarginalIndependenceTest in edu.cmu.tetrad.search.test
Classes in edu.cmu.tetrad.search.test that implement RawMarginalIndependenceTestModifier and TypeClassDescriptionfinal classA kernel-based conditional independence (CI) test for datasets containing any mix of continuous and discrete variables, implementing the Feature-Function CI (FF-CI) framework.final classFF-CI (Fast Fourier / Feature-based Conditional Independence Test) for continuous data.classBasis-expanded Generalised Covariance Measure (GCM) conditional independence test.classBasis–function independence test using block–structured Wilks statistics.classDeprecated.final classFisher's Z CI test with shrinkage (RIDGE/Ledoit-Wolf) and optional pseudoinverse fallback.classThe Kci class implements the Kernel-based Conditional Independence (KCI) test for statistical independence between variables.