sts Directory Reference

Directory dependency graph for sts:

Files
	sts_adjacency.cpp
	Implementation of the sensor- and source-space adjacency builders declared in sts_adjacency.h.
	sts_adjacency.h
	Construction of the sensor- and source-space neighbourhood graphs that define the cluster support for permutation testing.
	sts_cluster.cpp
	Implementation of the cluster permutation tests and TFCE enhancement declared in sts_cluster.h.
	sts_cluster.h
	Maris-Oostenveld cluster-mass permutation tests and Threshold-Free Cluster Enhancement for M/EEG inference.
	sts_correction.cpp
	Implementation of Bonferroni, Holm-Bonferroni and Benjamini-Hochberg FDR corrections declared in sts_correction.h.
	sts_correction.h
	Family-wise error and false-discovery-rate corrections for mass-univariate p-value maps.
	sts_cov_estimators.cpp
	Implementation of the regularised covariance estimators declared in sts_cov_estimators.h.
	sts_cov_estimators.h
	Regularised covariance estimators for M/EEG noise covariances, matching MNE-Python's compute_covariance() API.
	sts_ftest.cpp
	Implementation of the one-way ANOVA F-test declared in sts_ftest.h.
	sts_ftest.h
	One-way ANOVA F-test with exact p-values for comparing two or more independent groups.
	sts_global.cpp
	Definitions of the STSLIB build-info accessors declared in sts_global.h.
	sts_global.h
	STSLIB shared-library export macro and build-info accessors for the statistical-tests library.
	sts_source_metrics.cpp
	Implementation of the peak localisation error and spatial dispersion metrics declared in sts_source_metrics.h.
	sts_source_metrics.h
	Peak localisation error and spatial dispersion metrics for evaluating distributed M/EEG inverse solutions.
	sts_ttest.cpp
	Implementation of one-sample, paired and independent two-sample t-tests declared in sts_ttest.h.
	sts_ttest.h
	Frequentist Student's t-tests with exact p-values via the regularised incomplete beta function.
	sts_types.h
	Shared enumerations describing tail direction and multiple-comparison correction strategy.