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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> -------- spatial Durbin model estimation functions -------- </pre> <pre> <A HREF = "compare_models.m">compare_models </A>: An example of using sdm_g() sem_g() Gibbs sampling<A HREF = "f2_sdm.m ">f2_sdm </A>: evaluates llike for the spatial durbin model <A HREF = "f_sdm.m ">f_sdm </A>: evaluates concentrated log-likelihood for the <A HREF = "model_compare2.m">model_compare2 </A>: An example of using sdm_g() Gibbs sampling<A HREF = "model_probs.m ">model_probs </A>: computes and prints posterior model probabilities using log-marginals<A HREF = "plt_sdm.m ">plt_sdm </A>: Plots output using SDM model results structures<A HREF = "prt_sdm.m ">prt_sdm </A>: Prints output using sdm results structures<A HREF = "sdm.m ">sdm </A>: computes spatial durbin model estimates<A HREF = "sdm_d.m ">sdm_d </A>: An example of using sdm() max likelihood<A HREF = "sdm_d2.m ">sdm_d2 </A>: An example of using sdm() on a large data set<A HREF = "sdm_g.m ">sdm_g </A>: Bayesian estimates of the heteroscedastic spatial durbin model<A HREF = "sdm_gd.m ">sdm_gd </A>: An example of using sdm_g() Gibbs sampling<A HREF = "sdm_gd2.m ">sdm_gd2 </A>: An example of using sdm_g() on a large data set<A HREF = "sdmp_g.m ">sdmp_g </A>: Bayesian estimates of the heteroscedastic spatial durbin probit model<A HREF = "sdmp_gd.m ">sdmp_gd </A>: An example of using sdmp_g() Gibbs sampling<A HREF = "sdmp_gd2.m ">sdmp_gd2 </A>: An example of using sdmp_g() on a large data set <A HREF = "sdmt_g.m ">sdmt_g </A>: Bayesian estimates of the heteroscedastic spatial durbin tobit model<A HREF = "sdmt_gd.m ">sdmt_gd </A>: An example of using sdmt_g() Gibbs sampling<A HREF = "sdmt_gd2.m ">sdmt_gd2 </A>: An example of using sdmt_g() on a large data set </pre> </BODY> ⌨️ 快捷键说明
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