MGWRSAR                 Estimation of linear and local linear model
                        with spatial autocorrelation model (mgwrsar).
atds_gwr                atds_gwr Top-Down Scaling approach of GWR
coef,mgwrsar-method     coef for mgwrsar model
find_TP                 Search of a suitable set of target points.
                        find_TP is a wrapper function that identifies a
                        set of target points based on spatial smoothed
                        OLS residuals.
fitted,mgwrsar-method   fitted for mgwrsar model
golden_search_bandwidth
                        golden_search_bandwidth to be documented
kernel_matW             kernel_matW A function that returns a sparse
                        weight matrix based computed with a specified
                        kernel
                        (gauss,bisq,tcub,epane,rectangle,triangle)
                        considering coordinates provides in S and a
                        given bandwidth. If NN<nrow(S) only NN firts
                        neighbours are considered. If Type!='GD' then S
                        should have additional columns and several
                        kernels and bandwidths should be be specified
                        by the user.
mgwrsar-class           Class of mgwrsar Model.
mgwrsar_bootstrap_test
                        A bootstrap test for Betas for mgwrsar class
                        model.
mgwrsar_bootstrap_test_all
                        A bootstrap test for testing nullity of all
                        Betas for mgwrsar class model,
modc                    modc is a set of models to correct
                        approximation of hat matrix trace
multiscale_gwr          multiscale_gwr This function adapts the
                        multiscale Geographically Weighted Regression
                        (GWR) methodology proposed by Fotheringam et
                        al. in 2017, employing a backward fitting
                        procedure within the MGWRSAR subroutines. The
                        consecutive bandwidth optimizations are
                        performed by minimizing the corrected Akaike
                        criteria.
mydata                  mydata is a simulated data set of a mgwrsar
                        model
mydatasf                mydataf is a Simple Feature object with real
                        estate data in south of France.
normW                   normW row normalization of dgCMatrix
plot,mgwrsar,missing-method
                        Plot method for mgwrsar model
plot_effect             plot_effect plot_effect is a function that
                        plots the effect of a variable X_k with
                        spatially varying coefficient, i.e X_k *
                        Beta_k(u_i,v_i) for comparing the magnitude of
                        effects of between variables.
predict,mgwrsar-method
                        predict method for mgwrsar model
residuals,mgwrsar-method
                        residuals for mgwrsar model
simu_multiscale         Estimation of linear and local linear model
                        with spatial autocorrelation model (mgwrsar).
summary,mgwrsar-method
                        summary for mgwrsar model
summary_Matrix          summary_Matrix to be documented
tds_mgwr                Top-Down Scaling approach of multiscale GWR
