Uses of Class
edu.cmu.tetrad.algcomparison.sweep.SweepResult

Packages that use SweepResult

Package	Description
edu.cmu.tetrad.algcomparison.sweep

Uses of SweepResult in edu.cmu.tetrad.algcomparison.sweep

Methods in edu.cmu.tetrad.algcomparison.sweep that return SweepResult

Modifier and Type	Method	Description
SweepResult	SweepReport.selectByInstability(double instabilityCutoff)	Selects by the StARS rule as implemented historically in Tetrad's StARS class: among settings whose adjacency instability is strictly below the cutoff, returns the one with the largest instability; returns null if no setting qualifies.
SweepResult	SweepReport.selectByMarkovAdequacy()	Selects by Markov adequacy: the setting whose Anderson-Darling p-value for the implied independencies is largest (least evidence of asserting independencies the data reject), breaking ties by the larger fraction of implied dependencies detected.
SweepResult	SweepReport.selectMostStable()	Selects the setting with the smallest adjacency instability, or null if no setting has a computed instability.

Methods in edu.cmu.tetrad.algcomparison.sweep that return types with arguments of type SweepResult

Modifier and Type	Method	Description
List<SweepResult>	SweepReport.getResults()	Returns the per-setting results, in evaluation order, unmodifiable.

Constructor parameters in edu.cmu.tetrad.algcomparison.sweep with type arguments of type SweepResult

Modifier	Constructor	Description
	SweepReport(String algorithmDescription, String markovCheckDescription, int numRows, int numVariables, int numResamples, double percentResampleSize, boolean withReplacement, long seed, int numResampleGroups, List<SweepResult> results)	Constructs a report, recording whether resampling was by row or by block.
	SweepReport(String algorithmDescription, String markovCheckDescription, int numRows, int numVariables, int numResamples, double percentResampleSize, boolean withReplacement, long seed, List<SweepResult> results)	Constructs a report.