Man pages for spmoran
Fast Spatial and Spatio-Temporal Regression using Moran Eigenvectors
| addlearn_local | Additional learning of local processes and prediction for... |
| besf | Spatial regression with RE-ESF for very large samples |
| besf_vc | Spatially and non-spatially varying coefficient (SNVC)... |
| coef_marginal | Marginal effects evaluation |
| coef_marginal_vc | Marginal effects evaluation from models with varying... |
| 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 eigenvectors |
| meigen0 | Nystrom extension of Moran eigenvectors |
| meigen_f | Fast approximation of Moran eigenvectors |
| nongauss_y | Parameter setup for modeling non-Gaussian continuous data and... |
| plot_n | Plot non-spatially varying coefficients (NVCs) |
| plot_qr | Plot quantile regression coefficients estimated from SF-UQR |
| plot_s | Mapping spatially and spatio-temporally varying coefficients |
| predict0 | Spatial and spatio-temporal predictions |
| resf | spatial and spatio-temporal regression models |
| resf_qr | Spatial filter unconditional quantile regression |
| resf_vc | spatial and spatio-temporal regression models with varying... |
| weigen | Extract eigenvectors from a spatial weight matrix |
