Package edu.cmu.tetrad.algcomparison.statistic
package edu.cmu.tetrad.algcomparison.statistic
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ClassDescriptionThe adjacency precision.The adjacency precision.The adjacency true positive rate.The adjacency precision.The adjacency recall.The adjacency precision.The adjacency precision.The adjacency true positive rate.Calculates the F1 statistic for adjacencies.Ancestor precision.Ancestor recall.The bidirected true positives.The bidirected true positives.The arrow precision.The arrow precision.The adjacency true positive rate.The arrow precision.The arrow precision.The arrow recall.The arrow recall.The arrow precision.The arrow precision.The adjacency precision.The adjacency precision.Difference between the true and estiamted BIC scores.Difference between the true and estiamted BIC scores.Estimated BIC score.True BIC score.The bidirected true positives.The bidirected false negatives.The bidirected true positives.The bidirected edge precision.The bidirected edge precision.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.Outputs 1 if the skeleton is correct, 0 if not..The bidirected true positives.The bidirected true positives.The adjacency precision.The adjacency precision.Records the elapsed time of the algorithm in seconds.Calculates the F1 statistic for adjacencies.Calculates the F1 statistic for adjacencies.Calculates the F1 statistic for arrowheads.The bidirected true positives.The bidirected true positives.Estimates whether the p-values under the null are Uniform usign the Markov Checker.Estimates whether the p-values under the null are Uniform usign the Markov Checker.Return a 1 if the graph is exactly right, 0 otherwise.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.Legal PAGTests 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.Calculates the Matthew's correlation coefficient for adjacencies.Calculates the Matthew's correlation coefficient for adjacencies.MaximalMag statistic.No almost cyclic paths condition.No almost cyclic paths condition in MAG.No cyclic paths condition.No cyclic paths condition.The adjacency precision.The adjacency precision.Number of NOT X~~>Y in true graph for which also NOT X~~>Y in estimated graph.Number of NOT X~~>Y in true graph for which also NOT X~~>Y in estimated graph.Calculates the F1 statistic for adjacencies.The bidirected true positives.The bidirected true positives.The adjacency precision.Prints the number of edges in the estimated graph.Prints the number of edges in the true graph.The bidirected edge precision.The adjacency precision.The adjacency precision.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.Number of X-->Y in est.Number of X-->Y for which X-->Y visible in true PAG.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.Number of X---Y in est.Number of Xo->Y in est.The bidirected true positives.Number of X---Y in est.Number of X-->Y visible in est.The orientation precision.The orientation recall.The adjacency precision.The adjacency recall.Adds a column to the output table in which values for the given parameter are listed.The adjacency precision.The adjacency precision.Proportion of semi(X, Y) in estimated graph for which there is no semi(Y, X) in true graph.Proportion of semi(X, Y) in true graph for which there is no semi(Y, Z) in estimated graph.Estimates whether the p-values under the null are Uniform usign the Markov Checker.Estimates whether the p-values under the null are Uniform usign the Markov Checker.Calculates the F1 statistic for adjacencies.The bidirected true positives.The bidirected true positives.The interface that each statistic needs to implement.A list of statistics and their utility weights.Calculates the structural Hamming distance (SHD) between the estimated graph and the true graph.The arrow precision.The arrow recall.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The proportion of X*->Y in the estimated graph for which there is no path Y~~>X in the true graph.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The bidirected true positives.The 2-cycle precision.The 2-cycle precision.The 2-cycle precision.The 2-cycle recall.The 2-cycle precision.