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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