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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