Package index • fmrigpca

All functions

aggregate_tissue_to_parcels(): Aggregate GM/WM/CSF tissue probabilities to parcels
blocked_cv_recon_error(): Blocked cross-validated reconstruction error under genpca geometry
build_spatial_metric(): Build spatial column metric A from tissue maps, Laplacian, and tSNR
build_spatial_metric_parcel(): Build parcel-level spatial column metric A from aggregated tissues and Laplacian
build_temporal_metric(): Build temporal covariance metric for generalized PCA
build_temporal_metric_parcel(): Build temporal covariance metric for parcellated fMRI data
choose_rank_gd(): Gavish–Donoho-style rank heuristic on whitened singular values
choose_rank_pa(): Parallel Analysis via time-wise permutation
compute_tsnr(): Temporal SNR (tSNR) per voxel across runs
compute_tsnr_parcel(): Parcel-level tSNR across runs (ClusteredNeuroVec)
estimate_ar_whitener(): Estimate a design-free AR(p) whitener from a run
estimate_ar_whitener_parcel(): Estimate AR(p) whitener from parcel-level data
fit_subject_genpca(): Fit generalized PCA across multiple runs (voxel level)
fit_subject_genpca_parcel(): Fit generalized PCA at the parcel level (ClusteredNeuroVec)
fit_subject_metapca(): Combine per-run genpca fits via meta-PCA (MFA)
make_frame_weights(): Frame-wise robust weights from FD and DVARS
make_laplacian(): Build a spatial graph Laplacian from a NeuroVol mask
make_parcel_laplacian(): Build a parcel-level Laplacian
make_temporal_penalty(): Second-difference temporal smoothing penalty
parcel_centroids_from_labels(): Parcel centroids from a label volume
procrustes_distance(): Procrustes distance between two subspaces
subspace_principal_angles(): Principal angles between two subspaces
whitened_matrix(): Form a whitened matrix for genpca geometry
whitened_svd(): Truncated SVD of the whitened matrix