addlearn_local          Additional learning of local processes and
                        prediction for large samples
besf                    Spatial regression with RE-ESF for very large
                        samples
besf_vc                 Spatially and non-spatially varying coefficient
                        (SNVC) modeling for very large samples
coef_marginal           Marginal effects evaluation
coef_marginal_vc        Marginal effects evaluation from models with
                        varying coefficients
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 count data
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 coefficients
weigen                  Extract eigenvectors from a spatial weight
                        matrix
