% spatial error model estimation functions
%   
%   
%   compare_models : An example of using sar_g() sem_g() Gibbs sampling
%  compare_models2 : An example of using sar_g() sem_g() Gibbs sampling
%  compare_weights : An example of using sem_c() function
% compare_weights2 : An example of using sem_c() function
%           f2_sem : evaluates SEM log-likelihood -- given ML parameters using sparse matrix algorithms
%            f_sem : evaluates SEM concentrated log-likelihood using sparse matrix algorithms
%        make_html : makes HTML verion of contents.m files for the Econometrics Toolbox
%         prt_bmae : print results from sar_gcbma, sem_gcbma functions
%          prt_sem : Prints output using spatial error model results structures
%              sem : computes spatial error model estimates
%            sem_c : Bayesian log-marginal posterior for the spatial error model
%            sem_d : An example of using sem 
%           sem_d2 : An example of using sem() on a large data set   
%           sem_d3 : An example of using sem() on a large data set   
%            sem_g : Bayesian estimates of the spatial error model
%        sem_gcbma : MC^3 x-matrix specification for homoscedastic SEM model
%       sem_gcbmad : compute posterior probabilities of
%           sem_gd : An example of using sem_g() 
%          sem_gd2 : An example of using sem_g()
%        sem_testd : A timing comparison of heteroscedastic versus homoscedastic on small and large datasets                    
%           semp_g : Bayesian estimates of the spatial probit error model
%          semp_gd : An example of using sempp_g() Gibbs sampling spatial autoregressive probit model
%         semp_gd2 : An example of using semp_g()
%       test_bayes : A comparison of Bayesian and ML estimates
%      test_bayes2 : A comparison of Bayesian and ML estimates
%      test_bayes3 : A comparison of Bayesian and ML estimates
%      test_bayes4 : A comparison of Bayesian and ML estimates
%      test_bayes5 : A comparison of Bayesian and ML estimates
%      test_maxlik : A test of the accuracy of max-like estimates
