Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
8.12.10. nilearn.glm.compute_fixed_effects¶
nilearn.glm.compute_fixed_effects(contrast_imgs, variance_imgs, mask=None, precision_weighted=False)¶Compute the fixed effects, given images of effects and variance
Parameters: contrast_imgs: list of Nifti1Images or strings
the input contrast images
variance_imgs: list of Nifti1Images or strings
the input variance images
mask: Nifti1Image or NiftiMasker instance or None, optional,
mask image. If None, it is recomputed from contrast_imgs
precision_weighted: Bool, optional,
Whether fixed effects estimates should be weighted by inverse variance or not. Defaults to False.
Returns: fixed_fx_contrast_img: Nifti1Image,
the fixed effects contrast computed within the mask
fixed_fx_variance_img: Nifti1Image,
the fixed effects variance computed within the mask
fixed_fx_t_img: Nifti1Image,
the fixed effects t-test computed within the mask
