def test_MKDAChi2_fdr(testdata_cbma):
"""Smoke test for MKDAChi2."""
meta = MKDAChi2()
res = meta.fit(testdata_cbma, testdata_cbma)
corr = FDRCorrector(method="indep", alpha=0.001)
cres = corr.transform(res)
assert isinstance(res, nimare.results.MetaResult)
assert isinstance(cres, nimare.results.MetaResult)
methods = FDRCorrector.inspect(res)
assert methods == ["indep", "negcorr"]
figure=fig,
axes=axes[i_ax],
)
axes[i_ax].set_title(title)
from nimare.correct import FDRCorrector
###############################################################################
# Multiple comparisons correction in image-based meta-analyses
# -----------------------------------------------------------------------------
from nimare.meta.ibma import Stouffers
meta = Stouffers(resample=True)
results = meta.fit(dset)
print(FWECorrector.inspect(results))
print(FDRCorrector.inspect(results))
###############################################################################
# Note that the FWECorrector does not support a "montecarlo" method for the
# Stouffers Estimator.
# This is because NiMARE does not have a Monte Carlo-based method implemented
# for most IBMA algorithms.
###############################################################################
# Apply the Corrector to the MetaResult
# =============================================================================
corr = FDRCorrector(method="indep", alpha=0.05)
cres = corr.transform(results)
###############################################################################
# Show corrected results