| bandwidths_mgwrsar | bandwidths_mgwrsar Select optimal kernel and bandwidth from a list of models, kernels and bandwidth candidates. |
| 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. |
| 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 | Estimation of linear and local linear model with spatial autocorrelation model (mgwrsar). |
| 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, |
| multiscale_gwr | multiscale_gwr to be documented (experimental) |
| multiscale_gwr.cv | multiscale_gwr.cv to be documented (experimental) |
| mydata | mydata is a simulated data set of a mgwrsar model |
| normW | normW row normalization of dgCMatrix |
| 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. |
| plot_mgwrsar | plot_mgwrsar plots the value of local paramaters of a mgwrsar models using a leaflet map. |
| predict_mgwrsar | mgwrsar Model Predictions predict_mgwrsar is a function for computing predictions of a mgwrsar models. It uses Best Linear Unbiased Predictor for mgwrsar models with spatial autocorrelation. |
| summary_Matrix | summary_Matrix to be documented |
| summary_mgwrsar | Print a summary of mgwrsar models |