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<TITLE> Spatial econometrics functions library </TITLE><BODY> <A HREF = "../../html/view.html" target="FRP">[Return to Master Index]</A></BR> </BR> <pre> -------- GWR model functions -------- </pre> <pre> <A HREF = "bgwr.m ">bgwr </A>: compute Bayesian geographically weighted regression<A HREF = "bgwr_d.m ">bgwr_d </A>: An example of using bgwr()<A HREF = "bgwr_d2.m ">bgwr_d2 </A>: An example of using bgwr()<A HREF = "bgwrv.m ">bgwrv </A>: compute Bayesian robust geographically weighted regression<A HREF = "bgwrv_d.m ">bgwrv_d </A>: An example of using bgwr()<A HREF = "gwr.m ">gwr </A>: compute geographically weighted regression<A HREF = "gwr_d.m ">gwr_d </A>: An example of using gwr()<A HREF = "gwr_d2.m ">gwr_d2 </A>: An example of using gwr()<A HREF = "gwr_g.m ">gwr_g </A>: Gibbs estimates for the Bayesian heteroscedastic GWR model<A HREF = "gwr_logit.m ">gwr_logit </A>: compute geographically weighted logit regression<A HREF = "gwr_logitd.m ">gwr_logitd </A>: An example of using gwr_logit()<A HREF = "gwr_probit.m ">gwr_probit </A>: compute geographically weighted regression<A HREF = "gwr_probitd.m">gwr_probitd </A>: An example of using gwr_probit()<A HREF = "gwrw.m ">gwrw </A>: forms GWR weight matrix<A HREF = "gwrw_d.m ">gwrw_d </A>: An example of using gwrw()<A HREF = "prt_gwr.m ">prt_gwr </A>: Prints output from gwr_reg function<A HREF = "scoref.m ">scoref </A>: evaluates cross-validation score for optimal gwr bandwidth<A HREF = "scoref_log.m ">scoref_log </A>: evaluates cross-validation score for optimal gwr_logit bandwidth<A HREF = "scoref_prob.m">scoref_prob </A>: evaluates cross-validation score for optimal bandwidth for gwr_probit<A HREF = "scoreq.m ">scoreq </A>: evaluates cross-validation score for optimal q in gwr</pre> </BODY> ⌨️ 快捷键说明
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