Uses of Interface
edu.cmu.tetrad.algcomparison.statistic.Statistic

Packages that use Statistic

Package	Description
edu.cmu.tetrad.algcomparison.comparegraphs
edu.cmu.tetrad.algcomparison.statistic

Uses of Statistic in edu.cmu.tetrad.algcomparison.comparegraphs

Methods in edu.cmu.tetrad.algcomparison.comparegraphs with parameters of type Statistic

Modifier and Type	Method	Description
void	CompareTwoGraphs.addStatistic(Statistic statistic)

Uses of Statistic in edu.cmu.tetrad.algcomparison.statistic

Classes in edu.cmu.tetrad.algcomparison.statistic that implement Statistic

Modifier and Type	Class	Description
class	AdjacencyFn	The adjacency precision.
class	AdjacencyFp	The adjacency precision.
class	AdjacencyFpr	The adjacency true positive rate.
class	AdjacencyPrecision	The adjacency precision.
class	AdjacencyRecall	The adjacency recall.
class	AdjacencyTn	The adjacency precision.
class	AdjacencyTp	The adjacency precision.
class	AdjacencyTpr	The adjacency true positive rate.
class	AncestorF1	Calculates the F1 statistic for adjacencies.
class	AncestorPrecision	Ancestor precision.
class	AncestorRecall	Ancestor recall.
class	AncestralPrecision	The bidirected true positives.
class	AncestralRecall	The bidirected true positives.
class	ArrowheadFn	The arrow precision.
class	ArrowheadFp	The arrow precision.
class	ArrowheadFpr	The adjacency true positive rate.
class	ArrowheadPrecision	The arrow precision.
class	ArrowheadPrecisionCommonEdges	The arrow precision.
class	ArrowheadRecall	The arrow recall.
class	ArrowheadRecallCommonEdges	The arrow recall.
class	ArrowheadTn	The arrow precision.
class	ArrowheadTp	The arrow precision.
class	AverageDegreeEst	The adjacency precision.
class	AverageDegreeTrue	The adjacency precision.
class	BicDiff	Difference between the true and estiamted BIC scores.
class	BicDiffPerRecord	Difference between the true and estiamted BIC scores.
class	BicEst	Estimated BIC score.
class	BicTrue	True BIC score.
class	BidirectedEst	The bidirected true positives.
class	BidirectedFP	The bidirected false negatives.
class	BidirectedLatentPrecision	The bidirected true positives.
class	BidirectedPrecision	The bidirected edge precision.
class	BidirectedRecall	The bidirected edge precision.
class	BidirectedTP	The bidirected true positives.
class	BidirectedTrue	The bidirected true positives.
class	CommonAncestorFalseNegativeBidirected	The bidirected true positives.
class	CommonAncestorFalsePositiveBidirected	The bidirected true positives.
class	CommonAncestorTruePositiveBidirected	The bidirected true positives.
class	CommonMeasuredAncestorRecallBidirected	The bidirected true positives.
class	CorrectSkeleton	Outputs 1 if the skeleton is correct, 0 if not..
class	DefiniteDirectedPathPrecision	The bidirected true positives.
class	DefiniteDirectedPathRecall	The bidirected true positives.
class	DensityEst	The adjacency precision.
class	DensityTrue	The adjacency precision.
class	ElapsedCpuTime	Records the elapsed time of the algorithm in seconds.
class	F1Adj	Calculates the F1 statistic for adjacencies.
class	F1All	Calculates the F1 statistic for adjacencies.
class	F1Arrow	Calculates the F1 statistic for arrowheads.
class	FalseNegativesAdjacencies	The bidirected true positives.
class	FalsePositiveAdjacencies	The bidirected true positives.
class	FractionDependentUnderAlternative	Estimates whether the p-values under the null are Uniform usign the Markov Checker.
class	FractionDependentUnderNull	Estimates whether the p-values under the null are Uniform usign the Markov Checker.
class	GraphExactlyRight	Return a 1 if the graph is exactly right, 0 otherwise.
class	LatentCommonAncestorFalseNegativeBidirected	The bidirected true positives.
class	LatentCommonAncestorFalsePositiveBidirected	The bidirected true positives.
class	LatentCommonAncestorRecallBidirected	The bidirected true positives.
class	LatentCommonAncestorTruePositiveBidirected	The bidirected true positives.
class	LegalPag	Legal PAG
class	MarkovAdequacyScore	Tests whether the p-values under the null distribution are distributed as Uniform, and if so, returns the proportion of judgements of dependence under the Alternative Hypothesis.
class	MathewsCorrAdj	Calculates the Matthew's correlation coefficient for adjacencies.
class	MathewsCorrArrow	Calculates the Matthew's correlation coefficient for adjacencies.
class	MaximalityCondition	MaximalMag statistic.
class	NoAlmostCyclicPathsCondition	No almost cyclic paths condition.
class	NoAlmostCyclicPathsInMagCondition	No almost cyclic paths condition in MAG.
class	NoCyclicPathsCondition	No cyclic paths condition.
class	NoCyclicPathsInMagCondition	No cyclic paths condition.
class	NodesInCyclesPrecision	The adjacency precision.
class	NodesInCyclesRecall	The adjacency precision.
class	NonancestorPrecision	Number of NOT X~~>Y in true graph for which also NOT X~~>Y in estimated graph.
class	NonancestorRecall	Number of NOT X~~>Y in true graph for which also NOT X~~>Y in estimated graph.
class	NoSemidirectedF1	Calculates the F1 statistic for adjacencies.
class	NoSemidirectedPrecision	The bidirected true positives.
class	NoSemidirectedRecall	The bidirected true positives.
class	NumAmbiguousTriples	The adjacency precision.
class	NumberOfEdgesEst	Prints the number of edges in the estimated graph.
class	NumberOfEdgesTrue	Prints the number of edges in the true graph.
class	NumBidirectedBothNonancestorAncestor	The bidirected edge precision.
class	NumBidirectedEdgesEst	The adjacency precision.
class	NumBidirectedEdgesTrue	The adjacency precision.
class	NumColoredDD	The bidirected true positives.
class	NumColoredNL	The bidirected true positives.
class	NumColoredPD	The bidirected true positives.
class	NumColoredPL	The bidirected true positives.
class	NumCommonMeasuredAncestorBidirected	The bidirected true positives.
class	NumCompatibleDefiniteDirectedEdgeAncestors	The bidirected true positives.
class	NumCompatibleDirectedEdgeConfounded	The bidirected true positives.
class	NumCompatibleDirectedEdgeNonAncestors	The bidirected true positives.
class	NumCompatibleEdges	The bidirected true positives.
class	NumCompatiblePossiblyDirectedEdgeAncestors	The bidirected true positives.
class	NumCompatiblePossiblyDirectedEdgeNonAncestors	The bidirected true positives.
class	NumCompatibleVisibleAncestors	The bidirected true positives.
class	NumCompatibleVisibleNonancestors	The bidirected true positives.
class	NumCorrectDDAncestors	The bidirected true positives.
class	NumCorrectPDAncestors	The bidirected true positives.
class	NumCorrectVisibleAncestors	The bidirected true positives.
class	NumDefinitelyDirected	The bidirected true positives.
class	NumDefinitelyNotDirectedPaths	The bidirected true positives.
class	NumDirectedEdgeAncestors	The bidirected true positives.
class	NumDirectedEdgeBnaMeasuredCounfounded	The bidirected true positives.
class	NumDirectedEdgeNoMeasureAncestors	The bidirected true positives.
class	NumDirectedEdgeNotAncNotRev	The bidirected true positives.
class	NumDirectedEdgeReversed	The bidirected true positives.
class	NumDirectedEdges	Number of X-->Y in est.
class	NumDirectedEdgeVisible	Number of X-->Y for which X-->Y visible in true PAG.
class	NumDirectedPathsEst	The bidirected true positives.
class	NumDirectedPathsTrue	The bidirected true positives.
class	NumDirectedShouldBePartiallyDirected	The bidirected true positives.
class	NumIncorrectDDAncestors	The bidirected true positives.
class	NumIncorrectPDAncestors	The bidirected true positives.
class	NumIncorrectVisibleAncestors	The bidirected true positives.
class	NumLatentCommonAncestorBidirected	The bidirected true positives.
class	NumNondirectedEdges	Number of X---Y in est.
class	NumPartiallyOrientedEdges	Number of Xo->Y in est.
class	NumPossiblyDirected	The bidirected true positives.
class	NumUndirectedEdges	Number of X---Y in est.
class	NumVisibleEst	Number of X-->Y visible in est.
class	OrientationPrecision	The orientation precision.
class	OrientationRecall	The orientation recall.
class	PagAdjacencyPrecision	The adjacency precision.
class	PagAdjacencyRecall	The adjacency recall.
class	ParameterColumn	Adds a column to the output table in which values for the given parameter are listed.
class	PercentAmbiguous	The adjacency precision.
class	PercentBidirectedEdges	The adjacency precision.
class	ProportionSemidirectedPathsNotReversedEst	Proportion of semi(X, Y) in estimated graph for which there is no semi(Y, X) in true graph.
class	ProportionSemidirectedPathsNotReversedTrue	Proportion of semi(X, Y) in true graph for which there is no semi(Y, Z) in estimated graph.
class	PvalueDistanceToAlpha	Estimates whether the p-values under the null are Uniform usign the Markov Checker.
class	PvalueUniformityUnderNull	Estimates whether the p-values under the null are Uniform usign the Markov Checker.
class	SemidirectedPathF1	Calculates the F1 statistic for adjacencies.
class	SemidirectedPrecision	The bidirected true positives.
class	SemidirectedRecall	The bidirected true positives.
class	StructuralHammingDistance	Calculates the structural Hamming distance (SHD) between the estimated graph and the true graph.
class	TailPrecision	The arrow precision.
class	TailRecall	The arrow recall.
class	TrueDagFalseNegativesArrows	The bidirected true positives.
class	TrueDagFalseNegativesTails	The bidirected true positives.
class	TrueDagFalsePositiveArrow	The bidirected true positives.
class	TrueDagFalsePositiveTails	The bidirected true positives.
class	TrueDagPrecisionArrow	The proportion of X*->Y in the estimated graph for which there is no path Y~~>X in the true graph.
class	TrueDagPrecisionTails	The bidirected true positives.
class	TrueDagRecallArrows	The bidirected true positives.
class	TrueDagRecallTails	The bidirected true positives.
class	TrueDagTruePositiveArrow	The bidirected true positives.
class	TrueDagTruePositiveDirectedPathNonancestor	The bidirected true positives.
class	TrueDagTruePositiveTails	The bidirected true positives.
class	TwoCycleFalseNegative	The 2-cycle precision.
class	TwoCycleFalsePositive	The 2-cycle precision.
class	TwoCyclePrecision	The 2-cycle precision.
class	TwoCycleRecall	The 2-cycle recall.
class	TwoCycleTruePositive	The 2-cycle precision.

Methods in edu.cmu.tetrad.algcomparison.statistic that return types with arguments of type Statistic

Modifier and Type	Method	Description
List<Statistic>	Statistics.getStatistics()	Return the list of statistics.

Methods in edu.cmu.tetrad.algcomparison.statistic with parameters of type Statistic

Modifier and Type	Method	Description
void	Statistics.add(Statistic statistic)	Adds a statistic.
double	Statistics.getWeight(Statistic statistic)	The utility weight for the statistic.