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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> -------- first-order spatial autoregressive model functions -------- </pre> <pre> <A HREF = "compare_weights.m">compare_weights  </A>: An example of model comparison using far_g() function<A HREF = "f2_far.m         ">f2_far           </A>: evaluate the log-likelihood for ML rho,sigma values<A HREF = "f_far.m          ">f_far            </A>: evaluate the concentrated log-likelihood <A HREF = "far.m            ">far              </A>: computes 1st-order spatial autoregressive estimates<A HREF = "far_d.m          ">far_d            </A>: An example of using far() on a small data set<A HREF = "far_d2.m         ">far_d2           </A>: An example of using far_g()<A HREF = "far_g.m          ">far_g            </A>: Bayesian estimates for the 1st-order Spatial autoregressive model<A HREF = "far_gd.m         ">far_gd           </A>: An example of using far_g() Gibbs sampling<A HREF = "far_gd2.m        ">far_gd2          </A>: An example of using far_gc()<A HREF = "far_gd3.m        ">far_gd3          </A>: An example of Metropolis-Hastings vs. sampling by inversion<A HREF = "far_timing.m     ">far_timing       </A>: A timing comparison of heteroscedastic<A HREF = "plt_far.m        ">plt_far          </A>: Plots output using FAR model results structures<A HREF = "prt_far.m        ">prt_far          </A>: Prints output using far model results structures</pre> </BODY>

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