def test_DerSimonianLaird(testdata_ibma): """ Smoke test for DerSimonianLaird. """ meta = ibma.DerSimonianLaird() res = meta.fit(testdata_ibma) assert isinstance(meta.results, nimare.results.MetaResult) assert isinstance(res, nimare.results.MetaResult)
cmap='RdBu_r') ############################################################################### # Weighted Least Squares # ----------------------------------------------------------------------------- meta = ibma.WeightedLeastSquares(tau2=0) meta.fit(dset) plot_stat_map(meta.results.get_map('z'), cut_coords=[0, 0, -8], draw_cross=False, cmap='RdBu_r') ############################################################################### # DerSimonian-Laird # ----------------------------------------------------------------------------- meta = ibma.DerSimonianLaird() meta.fit(dset) plot_stat_map(meta.results.get_map('z'), cut_coords=[0, 0, -8], draw_cross=False, cmap='RdBu_r') ############################################################################### # Hedges # ----------------------------------------------------------------------------- meta = ibma.Hedges() meta.fit(dset) plot_stat_map(meta.results.get_map('z'), cut_coords=[0, 0, -8], draw_cross=False, cmap='RdBu_r')
) ############################################################################### # Weighted Least Squares # ----------------------------------------------------------------------------- meta = ibma.WeightedLeastSquares(tau2=0, resample=True) meta.fit(dset) plot_stat_map(meta.results.get_map("z"), cut_coords=[0, 0, -8], draw_cross=False, cmap="RdBu_r") ############################################################################### # DerSimonian-Laird # ----------------------------------------------------------------------------- meta = ibma.DerSimonianLaird(resample=True) meta.fit(dset) plot_stat_map(meta.results.get_map("z"), cut_coords=[0, 0, -8], draw_cross=False, cmap="RdBu_r") ############################################################################### # Hedges # ----------------------------------------------------------------------------- meta = ibma.Hedges(resample=True) meta.fit(dset) plot_stat_map(meta.results.get_map("z"), cut_coords=[0, 0, -8], draw_cross=False, cmap="RdBu_r")