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... |
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 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 | Maximize 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-family | Functions for specifying a sampling distribution and link... |
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... |
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 |
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 Generalized 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 | Create a model component object for a regression (fixed... |
residuals-fitted-values | Extract draws of fitted values or residuals from an mcdraws... |
sampler_control | Set computational options for the sampling algorithms |
SBC_test | Simulation based calibration |
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 | Summarize a draws component (dc) object |
summary.mcdraws | Summarize 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 |
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