def test_stouffers_rfx():
"""
Smoke test for Stouffer's RFX.
"""
meta = ibma.Stouffers(inference='rfx', null='theoretical', n_iters=None)
meta.fit(pytest.dset_z)
assert isinstance(meta.results, nimare.base.MetaResult)
def test_z_perm():
"""
Smoke test for z permutation.
"""
meta = ibma.Stouffers(inference='rfx', null='empirical', n_iters=10)
meta.fit(pytest.dset_z)
assert isinstance(meta.results, nimare.base.MetaResult)
def test_Stouffers_weighted(testdata_ibma):
"""
Smoke test for Stouffer's, weighted by sample size.
"""
meta = ibma.Stouffers(use_sample_size=True)
res = meta.fit(testdata_ibma)
assert isinstance(meta.results, nimare.results.MetaResult)
assert isinstance(res, nimare.results.MetaResult)
dset = nimare.dataset.Dataset(dset_file)
dset.update_path(dset_dir)
# Calculate missing images
dset.images = nimare.transforms.transform_images(dset.images,
target='z',
masker=dset.masker,
metadata_df=dset.metadata)
dset.images = nimare.transforms.transform_images(dset.images,
target='varcope',
masker=dset.masker,
metadata_df=dset.metadata)
###############################################################################
# Stouffer's
# --------------------------------------------------
meta = ibma.Stouffers(use_sample_size=False)
meta.fit(dset)
plot_stat_map(meta.results.get_map('z'),
cut_coords=[0, 0, -8],
draw_cross=False,
cmap='RdBu_r')
###############################################################################
# Stouffer's with weighting by sample size
# -----------------------------------------------------------------------------
meta = ibma.Stouffers(use_sample_size=True)
meta.fit(dset)
plot_stat_map(meta.results.get_map('z'),
cut_coords=[0, 0, -8],
draw_cross=False,
cmap='RdBu_r')
