nimare.meta.ibma

Image-based meta-analysis estimators

Classes

FFX_GLM([cdt, q, two_sided])	An image-based meta-analytic test using contrast and standard error images.
Fishers([two_sided])	An image-based meta-analytic test using t- or z-statistic images.
MFX_GLM([cdt, q, two_sided])	The gold standard image-based meta-analytic test.
RFX_GLM([null, n_iters, two_sided])	A t-test on contrast images.
Stouffers([inference, null, n_iters, two_sided])	A t-test on z-statistic images.
WeightedStouffers([two_sided])	An image-based meta-analytic test using z-statistic images and sample sizes.

Functions

ffx_glm(con_maps, se_maps, sample_sizes, mask)	Run a fixed-effects GLM on contrast and standard error images.
fsl_glm(con_maps, se_maps, sample_sizes, …)	Run a GLM with FSL.
mfx_glm(con_maps, se_maps, sample_sizes, mask)	Run a mixed-effects GLM on contrast and standard error images.