# GWR and MGWR with Spatial Autocorrelation

## Documentation for package ‘mgwrsar’ version 1.0.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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