| besf | Spatial regression with RE-ESF for very large samples |
| besf_vc | Spatially and non-spatially varying coefficient (SNVC) modeling for very large samples |
| esf | Spatial regression with eigenvector spatial filtering |
| lsem | Low rank spatial error model (LSEM) estimation |
| lslm | Low rank spatial lag model (LSLM) estimation |
| meigen | Extraction of Moran's eigenvectors |
| meigen0 | Nystrom extension of Moran eigenvectors |
| meigen_f | Fast approximation of Moran eigenvectors |
| plot_n | Plot non-spatially varying coefficients (NVCs) |
| plot_qr | Plot quantile regression coefficients estimated from SF-UQR |
| plot_s | Mapping spatially (and non-spatially) varying coefficients (SVCs or SNVC) |
| predict0 | Spatial prediction using eigenvector spatial filtering (ESF) or random effects ESF |
| predict0_vc | Prediction of explained variables and spatially varying coefficients |
| resf | Spatial regression with random effects eigenvector spatial filtering (RE-ESF) |
| resf_qr | Spatial filter unconditional quantile regression |
| resf_vc | Spatially and non-spatially varying coefficient (SNVC) modeling |
| weigen | Extract eigenvectors from a spatial weight matrix |