nimare.meta.ibma
.mfx_glm¶
-
mfx_glm
(con_maps, se_maps, sample_sizes, mask, cdt=0.01, q=0.05, work_dir='mfx_glm', two_sided=True)[source]¶ Run a mixed-effects GLM on contrast and standard error images.
- Parameters
con_maps ((n_contrasts, n_voxels)
numpy.ndarray
) – A 2D array of contrast maps in the same space, after masking.var_maps ((n_contrasts, n_voxels)
numpy.ndarray
) – A 2D array of contrast standard error maps in the same space, after masking. Must match shape and order ofcon_maps
.sample_sizes ((n_contrasts,)
numpy.ndarray
) – A 1D array of sample sizes associated with contrasts incon_maps
andvar_maps
. Must be in same order as rows incon_maps
andvar_maps
.mask (
nibabel.Nifti1Image
) – Mask image, used to unmask results maps in compiling output.cdt (
float
, optional) – Cluster-defining p-value threshold.q (
float
, optional) – Alpha for multiple comparisons correction.work_dir (
str
, optional) – Working directory for FSL flameo outputs.two_sided (
bool
, optional) – Whether analysis should be two-sided (True) or one-sided (False).
- Returns
result (
dict
) – Dictionary containing maps for test statistics, p-values, and negative log(p) values.