contents.m

计量工具箱

% Geographically weighted regression estimation 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()
%        make_html : makes HTML verion of contents.m files for the Econometrics Toolbox
%          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