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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 error model estimation functions -------- </pre> <pre> <A HREF = "compare_models.m ">compare_models </A>: An example of using sar_g() sem_g() Gibbs sampling<A HREF = "compare_models2.m">compare_models2 </A>: An example of using sar_g() sem_g() Gibbs sampling<A HREF = "compare_weights.m">compare_weights </A>: An example of using sem_g() function<A HREF = "f2_sem.m ">f2_sem </A>: evaluates log-likelihood -- given ML parameters<A HREF = "f_sem.m ">f_sem </A>: evaluates concentrated log-likelihood for the <A HREF = "prt_sem.m ">prt_sem </A>: Prints output using spatial error model results structures<A HREF = "sem.m ">sem </A>: computes spatial error model estimates<A HREF = "sem_d.m ">sem_d </A>: An example of using sem <A HREF = "sem_d2.m ">sem_d2 </A>: An example of using sem() on a large data set <A HREF = "sem_g.m ">sem_g </A>: Bayesian estimates of the spatial error model<A HREF = "sem_gd.m ">sem_gd </A>: An example of using sem_g() <A HREF = "sem_gd2.m ">sem_gd2 </A>: An example of using sem_g()<A HREF = "semp_g.m ">semp_g </A>: Bayesian estimates of the spatial probit error model<A HREF = "semp_gd.m ">semp_gd </A>: An example of using sarp_g() Gibbs sampling<A HREF = "semp_gd2.m ">semp_gd2 </A>: An example of using semp_g()<A HREF = "test_bayes.m ">test_bayes </A>: A comparison of Bayesian and ML estimates<A HREF = "test_bayes2.m ">test_bayes2 </A>: A comparison of Bayesian and ML estimates<A HREF = "test_maxlik.m ">test_maxlik </A>: A test of the accuracy of max-like estimates</pre> </BODY> ⌨️ 快捷键说明
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