Statistics

EEGPrep statistics helpers mirror the useful parts of EEGLAB’s functions/statistics package while using explicit NumPy contracts. Unless noted otherwise, condition arrays use their final axis for cases, subjects, or surrogate replications.

Condition Tests

eegprep.functions.statistics.statcond(data, *)	Compare condition arrays using EEGLAB-style t-tests or ANOVAs.
eegprep.functions.statistics.ttest_cell(a[, ...])	Compute paired t-statistics across the case axis.
eegprep.functions.statistics.ttest2_cell(a)	Compute unpaired t-statistics across the case axis.
eegprep.functions.statistics.anova1_cell(data, *)	Compute one-way unpaired ANOVA F-statistics across condition arrays.
eegprep.functions.statistics.anova1rm_cell(data, *)	Compute one-way repeated-measures ANOVA F-statistics.
eegprep.functions.statistics.anova2_cell(data, *)	Compute balanced two-way unpaired ANOVA F-statistics.
eegprep.functions.statistics.anova2rm_cell(data, *)	Compute two-way repeated-measures ANOVA F-statistics.

Multiple Comparisons and Surrogates

eegprep.functions.statistics.fdr(pvals[, q, ...])	Compute Benjamini-Hochberg or Benjamini-Yekutieli FDR thresholds.
eegprep.functions.statistics.stat_surrogate_pvals(...)	Compute empirical p-values against a surrogate distribution.
eegprep.functions.statistics.stat_surrogate_ci(...)	Compute surrogate confidence intervals along the last axis.
eegprep.functions.statistics.surrogdistrib(data, *)	Build bootstrap or permutation surrogate condition grids.

Data Helpers

eegprep.functions.statistics.concatdata(data, *)	Concatenate condition arrays along their case axis.
eegprep.functions.statistics.corrcoef_cell(a)	Compute pairwise correlations along a case axis.
eegprep.functions.statistics.teststat([seed])	Run deterministic smoke checks for the EEGPrep statistics package.