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's 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 non-spatially) varying
                        coefficients (SVCs or SNVC)
predict0                Spatial predictions
predict0_vc             Spatial predictions for explained variables and
                        spatially varying coefficients
resf                    Gaussian and non-Gaussian spatial regression
                        models
resf_qr                 Spatial filter unconditional quantile
                        regression
resf_vc                 Gaussian and non-Gaussian spatial regression
                        models with varying coefficients
weigen                  Extract eigenvectors from a spatial weight
                        matrix
