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-------- spatial autoregressive model estimation functions -------- 
 
beta_prior        : construct beta-prior for rho over -1,1 interval
compare_models    : An example of model comparison using log marginal posterior
compare_weights   : An example of model comparison using sar_c() function
compare_weights2  : An example of model comparison using sar_g() function
f2_sar            : evaluates log-likelihood -- given ML estimates
f_sar             : evaluates concentrated log-likelihood for the 
plt_sar           : Plots output using SAR model results structures
prt_sar           : Prints output using SAR results structures
sar               : computes spatial autoregressive model estimates
sar_c             : Bayesian log-marginal posterior for the spatial autoregressive model
sar_d             : An example of using sar() 
sar_d2            : An example of using sar_g() on a large data set   
sar_d3            : An example of using sar on a large data set   
sar_g             : Bayesian estimates of the spatial autoregressive model
sar_gd            : An example of using sar_g() Gibbs sampling
sar_gd2           : An example of using sar_g() on a large data set   
sar_gd3           : An example of using sar_g() on a large data set   
sar_gd4           : An example of using priors with sar_g() Gibbs sampling
sar_gv            : Bayesian estimates of the spatial autoregressive model
sar_gvd           : An example of using sar_gv() Gibbs sampling
sarp_g            : Bayesian estimates of the spatial autoregressive probit model
sarp_gd           : An example of using sarp_g() Gibbs sampling
sarp_gd2          : An example of using sarp_g() on a large data set   
sarp_gd3          : An example of using sarp_g()
sart_g            : Bayesian estimates of the spatial autoregressive tobit model
sart_gd           : An example of using sart_g() Gibbs sampling
sart_gd2          : An example of using sart_g() on a large data set