STSLIB Namespace Reference

Statistical testing (t-tests, F-tests, cluster permutation, multiple comparison correction). More...

Classes
class	StatsAdjacency
	Builds the sparse spatial and spatio-temporal neighbourhood graphs that define cluster support for permutation tests. More...
struct	StatsClusterResult
	Per-call output of a cluster permutation test: observed statistic map, cluster masses, cluster p-values and cluster labels. More...
class	StatsCluster
	Maris-Oostenveld cluster-mass permutation tests and Threshold-Free Cluster Enhancement on (channel,time) or (vertex,time) statistic maps. More...
class	StatsMcCorrection
	Bonferroni, Holm-Bonferroni and Benjamini-Hochberg FDR adjustments for mass-univariate p-value maps. More...
class	StsCovEstimators
	Regularised covariance estimators (Ledoit-Wolf, OAS, fixed-diagonal, PCA, Factor Analysis, cross-validated auto-select) matching the MNE-Python compute_covariance() API. More...
struct	StatsFtestResult
	Per-call output of a one-way ANOVA F-test: F-statistics, p-values, and between/within degrees of freedom. More...
class	StatsFtest
	One-way ANOVA F-test with exact p-values via the regularised incomplete beta function. More...
class	StatsSourceMetrics
	Peak localisation error and spatial dispersion metrics for evaluating distributed M/EEG inverse solutions. More...
struct	StatsTtestResult
	Per-call output of a Student t-test: t-statistics, p-values and degrees of freedom. More...
class	StatsTtest
	One-sample, paired and independent two-sample Student t-tests with exact p-values via the regularised incomplete beta function. More...

Enumerations
enum class	StatsTailType { Left , Right , Both }
	Direction of the alternative hypothesis for a t- or F-test (left, right, or two-sided). More...
enum class	StatsCorrection { None , Bonferroni , Fdr , ClusterPermutation }
	Strategy used to control false positives when a test is repeated across many (channel, time) or (vertex, time) samples. More...

Functions
STSSHARED_EXPORT const char *	buildDateTime ()
STSSHARED_EXPORT const char *	buildHash ()
STSSHARED_EXPORT const char *	buildHashLong ()

Detailed Description

Statistical testing (t-tests, F-tests, cluster permutation, multiple comparison correction).

Enumeration Type Documentation

StatsCorrection

enum class STSLIB::StatsCorrection

strong

Strategy used to control false positives when a test is repeated across many (channel, time) or (vertex, time) samples.

Multiple comparison correction method.

Enumerator
None	No correction.
Bonferroni	Bonferroni correction.
Fdr	False Discovery Rate (Benjamini-Hochberg).
ClusterPermutation	Cluster-based permutation test.

Definition at line 49 of file sts_types.h.

StatsTailType

enum class STSLIB::StatsTailType

strong

Direction of the alternative hypothesis for a t- or F-test (left, right, or two-sided).

Tail type for statistical tests.

Enumerator
Left	Left-tailed test.
Right	Right-tailed test.
Both	Two-tailed test.

Definition at line 37 of file sts_types.h.

Function Documentation

buildDateTime()

const char * STSLIB::buildDateTime

(

)

Returns build date and time.

Definition at line 29 of file sts_global.cpp.

buildHash()

const char * STSLIB::buildHash

(

)

Returns abbreviated build git hash.

Definition at line 33 of file sts_global.cpp.

buildHashLong()

const char * STSLIB::buildHashLong

(

)

Returns full build git hash.

Definition at line 37 of file sts_global.cpp.