Uses of Class
edu.cmu.tetrad.search.MarkovCheckNullReference.Result

Packages that use MarkovCheckNullReference.Result

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

Uses of MarkovCheckNullReference.Result in edu.cmu.tetrad.search

Methods in edu.cmu.tetrad.search that return MarkovCheckNullReference.Result

Modifier and Type	Method	Description
static MarkovCheckNullReference.Result	MarkovCheckNullReference.compute(DataSet data, Graph graph, IndependenceWrapper testWrapper, Parameters parameters, ConditioningSetType conditioningSetType, MarkovCheckNullReference.SimulatorType simulator, int numDraws, int sampleSize, long baseSeed, TrainedDagSimulatorGNM.Params gnmParams)	Convenience overload taking an IndependenceWrapper and Parameters, matching how the Markov-check test is configured in algcomparison and in py-tetrad's TetradSearch.
static MarkovCheckNullReference.Result	MarkovCheckNullReference.compute(DataSet data, Graph graph, Function<DataSet, IndependenceTest> testFactory, ConditioningSetType conditioningSetType, MarkovCheckNullReference.SimulatorType simulator, int numDraws, int sampleSize, long baseSeed, TrainedDagSimulatorGNM.Params gnmParams)	Computes the null reference using a test factory.