Built-in post-hoc correction methods and their output assays

Methods are selected by name in posthoc() and add their adjusted-p assays to the realised GDS. The FDR methods adjust the object's p-value assay(s): a genuine bare p (from meta/combine reducers or a tabular p column) yields a single q; a per-term p_coef:<term> family (from regression/LMM reducers such as ols:voxelwise) yields one q_coef:<term> per term. Pass options = list(source = "p_coef:<term>") to adjust one specific term.

Value

This is a documentation page (no return value).

Methods and outputs

• "fdr:bh", "fdr:by": add q (or per-term q_coef:<term>), Benjamini-Hochberg / Benjamini-Yekutieli adjusted p-values, computed column-wise per subject x contrast.

• "fdr:spatial": adds q (or per-term q_coef:<term>), group-wise spatial FDR. Requires a discrete spatial grouping (one parcel/cluster id per sample) via options$group or a recognised row_data column (feature_group, spatial_group, group, parcel, parcel_id).

• "nt:tfce_fwer" (needs the optional neurothresh package): adds p_fwer (TFCE FWER-corrected p-values), sig_mask (1/0 at alpha), and tfce (the TFCE-enhanced statistic map).

• "nt:cluster_fdr_perm" (needs neurothresh): adds q (cluster-FDR q broadcast to voxels) and sig_mask.

Required input assays are auto-derived (and persisted) when absent: e.g. fdr:bh on a z-only GDS adds a derived p alongside q.

See also

posthoc(), list_posthoc(), list_assays()