Package index • spatialunitroot

Spatial Unit Root Tests

Diagnostic tests for spatial unit roots

spurtest() spurtest_i1() spurtest_i0() spurtest_i1resid() spurtest_i0resid(): Spatial Unit Root Diagnostic Tests

Spatial Transformations

Spatial differencing to remove unit roots

spurtransform(): Spatial Differencing Transformations

Spatial Half-Life

Confidence intervals for spatial persistence

spurhalflife(): Confidence Intervals for Spatial Half-Life

Datasets

Example datasets

chetty: Chetty et al. (2014) Commuting Zone Data

Package

Package information

spatialunitroot spatialunitroot-package: spatialunitroot: Spatial Unit Root Diagnostic Tests and Transformations

Internal

Internal functions (C++ backend and computation)

apply_transform(): Apply transformation matrix to a variable
check_missing(): Check for missing values in a matrix and report
cluster_matrix(): Compute cluster transformation matrix
compute_distances(): Compute distance matrix from coordinates
double_center(): Double-center a matrix (subtract row means, then column means)
euclidean_distances(): Compute Euclidean distance matrix
find_ha_parm_i0(): Find ha_parm g for I(0) test
find_ha_parm_i1(): Find ha_parm for I(1) test (R implementation)
get_R(): Get top q eigenvectors of a symmetric matrix
getcbar(): Find c such that mean(exp(-c * lower_tri(distmat))) equals rhobar
getcbar_r(): Get cbar: find c such that mean(exp(-c * lower_tri(dist))) = rhobar
getpow_qf(): Compute power of quadratic form test
getpow_qf_r(): Compute power of quadratic form test (R implementation)
haversine_distances(): Compute Haversine great-circle distance matrix
iso_matrix(): Compute isotropic transformation matrix
lbm_gls_matrix(): Compute LBM-GLS transformation matrix
lvech(): Half-vectorization: extract lower triangular elements (excluding diagonal)
nn_matrix(): Compute nearest-neighbor transformation matrix
normalize_distances(): Normalize distance matrix so maximum distance is 1
resolve_coords(): Resolve spatial coordinates from various input formats
sigma_dm(): Compute demeaned spatial covariance with exponential decay
sigma_lbm(): Compute LBM covariance matrix from distance matrix
sigma_lbm_dm(): Compute demeaned LBM covariance matrix
sigma_residual(): Compute residual-projected spatial covariance
spatial_i0_core(): Spatial I(0) test (R implementation)
spatial_i0_resid_core(): Spatial I(0) residual test (R implementation)
spatial_i0_test(): Spatial I(0) unit root test
spatial_i0_test_residual(): Spatial I(0) residual unit root test
spatial_i1_core(): Spatial I(1) test (R implementation)
spatial_i1_resid_core(): Spatial I(1) residual test (R implementation)
spatial_i1_test(): Spatial I(1) unit root test
spatial_i1_test_residual(): Spatial I(1) residual unit root test
spatial_persistence(): Compute spatial half-life confidence interval
spatial_persistence_core(): Spatial half-life confidence set (R implementation)