nimare.meta.esma
.rfx_glm¶
-
rfx_glm
(con_maps, null='theoretical', n_iters=None, two_sided=True)[source]¶ Run a random-effects (RFX) GLM on contrast maps.
- Parameters
con_maps ((n_contrasts, n_voxels)
numpy.ndarray
) – A 2D array of contrast maps in the same space, after masking.null ({‘theoretical’, ‘empirical’}, optional) – Whether to use a theoretical null T distribution or an empirically- derived null distribution determined via sign flipping. Default is ‘theoretical’.
n_iters (
int
orNone
, optional) – The number of iterations to run in estimating the null distribution. Only used ifnull = 'empirical'
.two_sided (
bool
, optional) – Whether to do a two- or one-sided test. Default is True.
- Returns
result (
dict
) – Dictionary object containing maps for test statistics, p-values, and negative log(p) values.