CG_control              Set options for the conjugate gradient (CG)
                        sampler
MCMC-diagnostics        Compute MCMC diagnostic measures
MCMC-object-conversion
                        Convert a draws component object to another
                        format
MCMCsim                 Run a Markov Chain Monte Carlo simulation
acceptance_rates        Return Metropolis-Hastings acceptance rates
aggrMatrix              Utility function to construct a sparse
                        aggregation matrix from a factor
bart                    Create a model component object for a BART
                        (Bayesian Additive Regression Trees) component
                        in the linear predictor
chol_control            Set options for Cholesky decomposition
combine_chains          Combine multiple mcdraws objects into a single
                        one by combining their chains
combine_iters           Combine multiple mcdraws objects into a single
                        one by combining their draws
computeDesignMatrix     Compute a list of design matrices for all terms
                        in a model formula, or based on a sampler
                        environment
compute_GMRF_matrices   Compute (I)GMRF incidence, precision and
                        restriction matrices corresponding to a generic
                        model component
correlation             Correlation structures
create_TMVN_sampler     Set up a sampler object for sampling from a
                        possibly truncated and degenerate multivariate
                        normal distribution
create_sampler          Create a sampler object
gen                     Create a model component object for a generic
                        random effects component in the linear
                        predictor
generate_data           Generate a data vector according to a model
get_draw                Extract a list of parameter values for a single
                        draw
glreg                   Create a model object for group-level
                        regression effects within a generic random
                        effects component.
labels                  Get and set the variable labels of a draws
                        component object for a vector-valued parameter
matrix-vector           Fast matrix-vector multiplications
maximize_log_lh_p       Maximize the log-likelihood or log-posterior as
                        defined by a sampler closure
mcmcsae-TMVN-method     Functions for specifying the method and
                        corresponding options for sampling from a
                        possibly truncated and degenerate multivariate
                        normal distribution
mcmcsae-family          Functions for specifying a sampling
                        distribution and link function
mcmcsae-package         Markov Chain Monte Carlo Small Area Estimation
mcmcsae_example         Generate artificial data according to an
                        additive spatio-temporal model
mec                     Create a model component object for a
                        regression (fixed effects) component in the
                        linear predictor with measurement errors in
                        quantitative covariates
model-information-criteria
                        Compute DIC, WAIC and leave-one-out
                        cross-validation model measures
model_matrix            Compute possibly sparse model matrix
nchains-ndraws-nvars    Get the number of chains, samples per chain or
                        the number of variables in a simulation object
par_names               Get the parameter names from an mcdraws object
plot.dc                 Trace, density and autocorrelation plots for
                        (parameters of a) draws component (dc) object
plot.mcdraws            Trace, density and autocorrelation plots
plot_coef               Plot a set of model coefficients or predictions
                        with uncertainty intervals based on summaries
                        of simulation results or other objects.
posterior-moments       Get means or standard deviations of parameters
                        from the MCMC output in an mcdraws object
pr_MLiG                 Create an object representing a Multivariate
                        Log inverse Gamma (MLiG) prior distribution
pr_exp                  Create an object representing exponential prior
                        distributions
pr_fixed                Create an object representing a degenerate
                        prior fixing a parameter (vector) to a fixed
                        value
pr_gamma                Create an object representing gamma prior
                        distributions
pr_gig                  Create an object representing Generalized
                        Inverse Gaussian (GIG) prior distributions
pr_invchisq             Create an object representing inverse
                        chi-squared priors with possibly modeled
                        degrees of freedom and scale parameters
pr_invwishart           Create an object representing an inverse
                        Wishart prior, possibly with modeled scale
                        matrix
pr_normal               Create an object representing a possibly
                        multivariate normal prior distribution
predict.mcdraws         Generate draws from the predictive distribution
print.dc_summary        Display a summary of a 'dc' object
print.mcdraws_summary   Print a summary of MCMC simulation results
read_draws              Read MCMC draws from a file
reg                     Create a model component object for a
                        regression (fixed effects) component in the
                        linear predictor
residuals-fitted-values
                        Extract draws of fitted values or residuals
                        from an mcdraws object
sampler_control         Set computational options for the sampling
                        algorithms
setup_cluster           Set up a cluster for parallel computing
stop_cluster            Stop a cluster
subset.dc               Select a subset of chains, samples and
                        parameters from a draws component (dc) object
summary.dc              Summarize a draws component (dc) object
summary.mcdraws         Summarize an mcdraws object
transform_dc            Transform one or more draws component objects
                        into a new one by applying a function
vfac                    Create a model component object for a variance
                        factor component in the variance function of a
                        gaussian sampling distribution
vreg                    Create a model component object for a
                        regression component in the variance function
                        of a gaussian sampling distribution
weights.mcdraws         Extract weights from an mcdraws object
