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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