Package index • hatsa

All functions

airm_distance(): Affine-Invariant Riemannian Metric (AIRM) Distance

anchor-selection-enhanced: Enhanced MRA Anchor Selection with Parcel Quality Integration

anchor-selection-workflow: Anchor Selection Workflow for HATSA

block_indices.hatsa_projector(): Extract block indices from a hatsa_projector object

build_augmented_anchor_matrix(): Build Augmented Anchor Matrix

bures_wasserstein_barycenter(): Compute Bures-Wasserstein Barycenter of SPD Matrices

coef(<hatsa_projector>): Extract coefficients (mean aligned sketch) from a hatsa_projector object

compute_W_task_from_activations(): Compute Task-Based Parcel Similarity Graph (W_task) from Activations

compute_W_task_from_encoding(): Compute Task-Based Parcel Similarity Graph (W_task) from Encoding Weights

compute_anchor_template_recovery(): Compute Anchor Template (T_anchor_final) Recovery Metrics

compute_eigenvalue_fidelity(): Compute Eigenvalue Spectrum Fidelity Metrics

compute_gev_spectrum_diagnostics(): Compute GEV Spectrum Diagnostics

compute_graph_correlation(): Compute Correlation Between Two Sparse Graphs

compute_rotation_recovery(): Compute Rotation Recovery (SO(k) Alignment) Metrics

compute_v_recovery(): Compute Group Template (v) Recovery Metrics

discover_optimal_anchors(): Discover Optimal Anchors from Training Data

.so_logm_closed_form(): Compute Fréchet Mean of Rotation Matrices on SO(k)

expmap_spd_airm(): Exp Map for SPD Matrices (AIRM Metric)

expmap_spd_logeuclidean(): Exp Map for SPD Matrices (Log-Euclidean Metric)

frechet_mean_spd(): Fréchet Mean of SPD Matrices

get_anchor_sketches(): Get Anchor Sketches

get_condition_numbers(): Get Condition Numbers

get_spd_representations(): Get SPD Matrix Representations from a HATSA Projector Object

get_tangent_space_coords(): Project Subject SPD Representations to a Common Tangent Space

grassmann_distance(): Grassmann Distance between Subspaces

get_aligned_data() get_template() get_rotations() get_anchor_indices() get_quality_metrics() get_original_basis() get_eigenvalues(): Convenience Accessors for HATSA Results

hatsa-pitfalls: Common HATSA Pitfalls and Solutions

hatsa-quality-metrics: Additional Quality Metrics for HATSA

hatsa-workflows HATSA-workflows hatsa-examples: HATSA Workflow Examples

hatsa(): Simple HATSA Interface

hatsa_projector(): HATSA Projector Object

hatsa_suggest(): Suggest HATSA Parameters

hatsa_summary(): Quick Summary of HATSA Results

hatsa_task(): Task-Informed HATSA Interface

hatsa_validate_params(): Validate HATSA Parameters

load_anchors(): Load Pre-selected Anchors

logmap_spd_airm(): Log Map for SPD Matrices (AIRM Metric)

logmap_spd_logeuclidean(): Log Map for SPD Matrices (Log-Euclidean Metric)

matrix_expm_spd(): Matrix Exponential of a Symmetric Matrix

matrix_logm_spd(): Matrix Logarithm of an SPD Matrix

matrix_sqrt_spd(): Matrix Square Root of an SPD Matrix

misalign_deg(): Calculate Misalignment Angle Between Two Rotation Matrices

parcel_quality_metrics(): Compute Parcel-Level Quality Metrics

plot_hatsa(): Plot HATSA Results

plot_k_stability_hatsa(): HATSA Quality Control and Stability Plots

plot_mds_spd_subjects(): Plot Multidimensional Scaling (MDS) of Subjects based on SPD Matrix Distances

predict(<hatsa_projector>): Predict method for hatsa_projector objects

prepare_parcel_quality_info(): Prepare Parcel Quality Information

print(<anchor_selection_result>): Print Anchor Selection Result

print(<anchor_validation_result>): Print Anchor Validation Result

print(<hatsa_projector>): Print method for hatsa_projector objects

print(<summary.hatsa_projector>): Print method for summary.hatsa_projector objects

print(<summary.task_hatsa_projector>): Print method for summary.task_hatsa_projector objects

print(<summary_enhanced_hatsa>): Print Enhanced Summary

print(<task_hatsa_projector>): Print method for task_hatsa_projector objects

project_block(<hatsa_projector>): Project a specific block (subject) using a hatsa_projector object

project_features_to_spectral_space(): Project Features onto a Spectral Basis

project_voxels(): Project Voxel-Level Data

project_voxels(<hatsa_projector>): Project Voxel-Level Data using a HATSA Projector

reconstruction_error(): Calculate Reconstruction Error for HATSA Projector Objects

residualize_matrix_on_subspace(): Residualize Matrix on Subspace

riemannian_dispersion_spd(): Compute Riemannian Dispersion of SPD Matrices on the Manifold

riemannian_distance_matrix_spd(): Compute Pairwise Riemannian Distances Between Subject SPD Representations

riemannian_distance_spd(): Compute Riemannian Distance Between SPD Matrices (Log-Euclidean Metric)

run_geo_hatsa_core(): Run Geometric Harmonized Tensors SVD Alignment (Geo-HATSA) Core Algorithm

run_hatsa_core(): Run the Core HATSA Algorithm

safe_wrapper(): Safely evaluate an expression with warning on error

scores(<hatsa_projector>): Extract scores (stacked aligned sketches) from a hatsa_projector object

sdev.hatsa_projector(): Extract component standard deviations from a hatsa_projector object

select_anchors_mra(): Manifold-Regularized Anchor Selection (MRA-Select)

select_anchors_mra_quality(): Enhanced MRA Selection with Quality Filtering

select_anchors_network_balanced(): Network-Informed Anchor Selection

solve_procrustes_rotation_weighted(): Solve Weighted Procrustes Rotation Problem

summary.hatsa_projector(): Summary method for hatsa_projector objects

summary.task_hatsa_projector(): Summary method for task_hatsa_projector objects

summary_enhanced(): Enhanced Summary for HATSA with All Quality Metrics

task_hatsa() run_task_hatsa(): Hyperalignment via Task-Informed Shared Analysis

task_hatsa_opts(): Advanced Options for Task-Informed HATSA

task_hatsa_projector(): Task-HATSA Projector Object

validate_anchors(): Validate Pre-selected Anchors