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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