statcond

statcond(data, *, paired='auto', method='param', mode=None, naccu=200, variance='homogenous', forceanova=False, tail='both', axis=-1, rng=None, alpha=None, surrog=None, stats=None, return_resampling_array=False)

Compare condition arrays using EEGLAB-style t-tests or ANOVAs.

Parameters:

• data (Any) – One- or two-dimensional sequence of condition arrays. The case dimension is the last axis by default.

• paired (str | bool) – "auto", "on"/True, or "off"/False.

• method (str) – "param", "perm", or "bootstrap".

• mode (str | None) – Legacy alias for method.

• naccu (int) – Number of surrogate samples for nonparametric methods.

• variance (str) – "homogenous" or "inhomogenous" for unpaired t-tests.

• forceanova (bool) – Use one-way ANOVA instead of a two-condition t-test.

• tail (str) – Empirical-tail mode for supplied or computed surrogates.

• axis (int) – Axis in each condition array that stores cases.

• rng (Generator | int | None) – Optional NumPy generator or seed for deterministic resampling.

• alpha (float | None) – Optional threshold for confidence intervals and masks; requires a nonparametric method or supplied surrogate statistics.

• surrog (Any) – Precomputed surrogate statistic array.

• stats (Any) – Observed statistic to pair with surrog.

• return_resampling_array (bool) – Return surrogate condition grids instead of computing statistics.

Return type:

StatcondResult | SurrogateDistribution