nispace.stats.effectsize.hedges_nan
- nispace.stats.effectsize.hedges_nan(a, b)[source]
NaN-aware Hedges’ g for independent groups (see hedges).
- Parameters:
a (array_like, shape (n_obs_a, n_features) / (n_obs_b, n_features)) – Same convention as cohen_nan. NaN entries excluded per-column.
b (array_like, shape (n_obs_a, n_features) / (n_obs_b, n_features)) – Same convention as cohen_nan. NaN entries excluded per-column.
- Returns:
g
- Return type:
np.ndarray, shape (n_features,)
Notes
Not called anywhere in NiSpace’s internal pipeline: Y_transform= “hedges(a,b)” dispatches to the numba-jitted hedges_nan_fast (core/transform_y.py), not this function.
References