| acceptance_rates | Return Metropolis-Hastings acceptance rates |
| ac_fft | Compute autocovariance or autocorrelation function via... |
| aggrMatrix | Utility function to construct a sparse aggregation matrix... |
| anyNA-tabMatrix-method | S4 method for generic 'anyNA' and signature 'tabMatrix' |
| brt | Create a model component object for a BART (Bayesian Additive... |
| CG | Solve Ax=b by preconditioned conjugate gradients |
| CG_control | Set options for the conjugate gradient (CG) sampler |
| chol_control | Set options for Cholesky decomposition |
| combine_chains | Combine multiple mcdraws objects into a single one by... |
| combine_iters | Combine multiple mcdraws objects into a single one by... |
| computeDesignMatrix | Compute a list of design matrices for all terms in a model... |
| correlation | Correlation factor structures in generic model components |
| create_block_cMVN_sampler | Set up a a function for direct sampling from a constrained... |
| create_cMVN_sampler | Set up a function for direct sampling from a constrained... |
| create_sampler | Create a sampler object |
| create_TMVN_sampler | Set up a sampler object for sampling from a possibly... |
| f_binomial | Specify a binomial sampling distribution |
| f_gamma | Specify a Gamma sampling distribution |
| f_gaussian | Specify a Gaussian sampling distribution |
| f_gaussian_gamma | Specify a Gaussian-Gamma sampling distribution |
| f_multinomial | Specify a multinomial sampling distribution |
| f_negbinomial | Specify a negative binomial sampling distribution |
| f_poisson | Specify a Poisson sampling distribution |
| gen | Create a model component object for a generic random effects... |
| gen_control | Set computational options for the sampling algorithms used... |
| 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... |
| GMRF_structure | Set up a GMRF structure for a generic model component |
| labels | Get and set the variable labels of a draws component object... |
| Matrix-methods | S4 methods for products of matrix objects |
| matrix-vector | Fast matrix-vector multiplications |
| maximize_log_lh_p | Maximise the log-likelihood or log-posterior as defined by a... |
| MCMC-diagnostics | Compute MCMC diagnostic measures |
| MCMC-object-conversion | Convert a draws component object to another format |
| mcmcsae_example | Generate artificial data according to an additive... |
| mcmcsae-package | Markov Chain Monte Carlo Small Area Estimation |
| MCMCsim | Run a Markov Chain Monte Carlo simulation |
| mc_offset | Create a model component object for an offset, i.e. fixed,... |
| mec | Create a model component object for a regression (fixed... |
| model-information-criteria | Compute DIC, WAIC and leave-one-out cross-validation model... |
| model_matrix | Compute possibly sparse model matrix |
| n_chains-n_draws-n_vars | Get the number of chains, samples per chain or the number of... |
| negbin_control | Set computational options for the sampling algorithms |
| par_names | Get the parameter names from an mcdraws object |
| plot_coef | Plot a set of model coefficients or predictions with... |
| plot.dc | Trace, density and autocorrelation plots for (parameters of... |
| plot.mcdraws | Trace, density and autocorrelation plots |
| poisson_control | Set computational options for the sampling algorithms |
| posterior-moments | Get means or standard deviations of parameters from the MCMC... |
| pr_beta | Create an object representing beta prior distributions |
| predict.mcdraws | Generate draws from the predictive distribution |
| pr_exp | Create an object representing exponential prior distributions |
| pr_fixed | Create an object representing a degenerate prior fixing a... |
| pr_gamma | Create an object representing gamma prior distributions |
| pr_gig | Create an object representing Generalised Inverse Gaussian... |
| print.dc_summary | Display a summary of a 'dc' object |
| print.mcdraws_summary | Print a summary of MCMC simulation results |
| pr_invchisq | Create an object representing inverse chi-squared priors with... |
| pr_invwishart | Create an object representing an inverse Wishart prior,... |
| pr_MLiG | Create an object representing a Multivariate Log inverse... |
| pr_normal | Create an object representing a possibly multivariate normal... |
| pr_truncnormal | Create an object representing truncated normal prior... |
| pr_unif | Create an object representing uniform prior distributions |
| read_draws | Read MCMC draws from a file |
| reg | Specify a regression (fixed effects) component in the linear... |
| residuals-fitted-values | Extract draws of fitted values or residuals from an mcdraws... |
| s | Specify a smooth term component of the linear predictor |
| sampler_control | Set computational options for the sampling algorithms |
| SBC_test | Simulation based calibration |
| set_constraints | Set up a system of linear equality and/or inequality... |
| set_MH | Set options for Metropolis-Hastings sampling |
| setup_CG_sampler | Set up conjugate gradient sampler |
| setup_cluster | Set up a cluster for parallel computing |
| sim_marg_var | Compute a Monte Carlo estimate of the marginal variances of a... |
| stop_cluster | Stop a cluster |
| subset.dc | Select a subset of chains, samples and parameters from a... |
| summary.dc | Summarise a draws component (dc) object |
| summary.mcdraws | Summarise an mcdraws object |
| tabMatrix-indexing | S4 method for row and column subsetting a 'tabMatrix' |
| TMVN-methods | Functions for specifying the method and corresponding options... |
| transform_dc | Transform one or more draws component objects into a new one... |
| vfac | Create a model component object for a variance factor... |
| vreg | Create a model component object for a regression component in... |
| weights.mcdraws | Extract weights from an mcdraws object |
