GWR and MGWR with Spatial Autocorrelation
bandwidths_mgwrsar
Search of a suitable set of target points. find_TP is a wrapper functi...
INST_C to be documented
int_prems to be documented
kernel_matW A function that returns a sparse weight matrix based compu...
Estimation of linear and local linear model with spatial autocorrelati...
A bootstrap test for Betas for mgwrsar class model.
A bootstrap test for testing nullity of all Betas for mgwrsar class mo...
multiscale_gwr.cv to be documented (experimental)
multiscale_gwr This function adapts the multiscale Geographically Weig...
normW row normalization of dgCMatrix
PhWY_C to be documented
plot_effect plot_effect is a function that plots the effect of a varia...
plot_mgwrsar plots the value of local paramaters of a mgwrsar models u...
mgwrsar Model Predictions predict_mgwrsar is a function for computing ...
Proj_C to be documented
QRcpp2_C to be documented
Estimation of linear and local linear model with spatial autocorrelati...
Sl_C to be documented
summary_Matrix to be documented
Print a summary of mgwrsar models
Functions for computing (Mixed) Geographically Weighted Regression with spatial autocorrelation, Geniaux and Martinetti (2017) <doi:10.1016/j.regsciurbeco.2017.04.001>.