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-------- GWR model functions --------
bgwr : compute Bayesian geographically weighted regression
bgwr_d : An example of using bgwr()
bgwr_d2 : An example of using bgwr()
bgwrv : compute Bayesian robust geographically weighted regression
bgwrv_d : An example of using bgwr()
gwr : compute geographically weighted regression
gwr_d : An example of using gwr()
gwr_d2 : An example of using gwr()
gwr_g : Gibbs estimates for the Bayesian heteroscedastic GWR model
gwr_logit : compute geographically weighted logit regression
gwr_logitd : An example of using gwr_logit()
gwr_probit : compute geographically weighted regression
gwr_probitd : An example of using gwr_probit()
gwrw : forms GWR weight matrix
gwrw_d : An example of using gwrw()
prt_gwr : Prints output from gwr_reg function
scoref : evaluates cross-validation score for optimal gwr bandwidth
scoref_log : evaluates cross-validation score for optimal gwr_logit bandwidth
scoref_prob : evaluates cross-validation score for optimal bandwidth for gwr_probit
scoreq : evaluates cross-validation score for optimal q in gwr