W_priors                Set prior specifications for the spatial weight
                        matrix
W_sampler               An R6 class for sampling the elements of W
bbinompdf               Probability density for a hierarchical prior
                        setup for the elements of the adjacency matrix
                        based on the beta binomial distribution
beta_priors             Set prior specifications for the slope
                        parameters
beta_sampler            An R6 class for sampling slope parameters
betapdf                 The four-parameter Beta probability density
                        function
covid                   Covid incidences data
logdetAinvUpdate        Efficient update of the log-determinant and the
                        matrix inverse
logdetPaceBarry         Pace and Barry's log determinant approximation
logdetSpline            Spline-based log determinant approximation
normalgamma             A Markov Chain Monte Carlo (MCMC) sampler for a
                        linear panel model
nuts1growth             Regional growth data for European NUTS-1
                        regions
plot.estimateW          Graphical summary of the estimated adjacency
                        matrix Omega
plot.sim_dgp            Graphical summary of a generated spatial weight
                        matrix
rho_priors              Specify prior for the spatial autoregressive
                        parameter and sampling settings
rho_sampler             An R6 class for sampling the spatial
                        autoregressive parameter rho
sar                     A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial autoregressive model (SAR)
                        with exogenous spatial weight matrix.
sarw                    A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial autoregressive model (SAR)
                        with unknown spatial weight matrix
sdem                    A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial Durbin error model (SDEM)
                        with exogenous spatial weight matrix.
sdemw                   A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial Durbin error model (SDEM)
                        with unknown spatial weight matrix
sdm                     A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial Durbin model (SDM) with
                        exogenous spatial weight matrix.
sdmw                    A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial Durbin model (SDM) with
                        unknown spatial weight matrix
sem                     A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial error model (SEM) with
                        exogenous spatial weight matrix.
semw                    A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial error model (SEM) with
                        unknown spatial weight matrix
sigma_priors            Set prior specification for the error variance
                        using an inverse Gamma distribution
sigma_sampler           An R6 class for sampling for sampling sigma^2
sim_dgp                 Simulating from a data generating process
slx                     A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial SLX model with exogenous
                        spatial weight matrix
slxw                    A Markov Chain Monte Carlo (MCMC) sampler for
                        the panel spatial SLX model with unknown
                        spatial weight matrix
