Uses of Class
edu.cmu.tetrad.search.WildBootstrapMarkovCheck

Packages that use WildBootstrapMarkovCheck

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

Uses of WildBootstrapMarkovCheck in edu.cmu.tetrad.search

Methods in edu.cmu.tetrad.search that return WildBootstrapMarkovCheck

Modifier and Type	Method	Description
WildBootstrapMarkovCheck	WildBootstrapMarkovCheck.setBlocks(int[] blocks)	Dependent wild bootstrap, cluster form: switches the check to the wild cluster bootstrap-t of WildBootstrapMarkovCheck.runEngineBlocks(double[][], String[], int, long, WildBootstrapMarkovCheck.Multiplier, int[]).
WildBootstrapMarkovCheck	WildBootstrapMarkovCheck.setKernel(double[][] coords, double bandwidth)	Dependent wild bootstrap, kernel form: switches the check to the dependent wild bootstrap-t of WildBootstrapMarkovCheck.runEngineKernel(double[][], String[], int, long, double[][], double) (Shao 2010, self-normalized), with multiplier covariance exp(-d^2/(2 h^2)) over the given row coordinates.
WildBootstrapMarkovCheck	WildBootstrapMarkovCheck.setMultiplier(WildBootstrapMarkovCheck.Multiplier m)	Sets the multiplier distribution for the wild bootstrap.
WildBootstrapMarkovCheck	WildBootstrapMarkovCheck.setNumBootstraps(int b)	Sets the number of bootstrap replicates B.
WildBootstrapMarkovCheck	WildBootstrapMarkovCheck.setResidualizer(WildBootstrapMarkovCheck.Residualizer r)	Sets the residualization used to regress X and Y on the conditioning set.
WildBootstrapMarkovCheck	WildBootstrapMarkovCheck.setSeed(long s)	Sets the RNG seed for the bootstrap, for reproducibility.