bandwidths_mgwrsar |
bandwidths_mgwrsar |
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 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. |
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. |
simu_multiscale |
Estimation of linear and local linear model with spatial autocorrelation model (mgwrsar). |
summary_Matrix |
summary_Matrix to be documented |
summary_mgwrsar |
Print a summary of mgwrsar models |