L                       Lag function for autoregressive models
bayesGAM                'bayesGAM' fits a variety of regression models
                        using Hamiltonian Monte Carlo
bayesGAM-package        The 'bayesGAM' package.
bayesGAMfit-class       Contains results from 'rstan' as well as the
                        design matrices and other data for the model.
bloodpressure           Blood pressure data from a clinical study
coefficients            Extract Model Coefficients
create_bivariate_design
                        Creates a design matrix from a bivariate
                        smoothing algorithm
extract_log_lik_bgam    Extract the log likelihood from models fit by
                        'bayesGAM'
fitted                  Extract fitted values from a model fit by
                        'bayesGAM'
getDesign               Design matrices from a 'bayesGAMfit' object
getModelSlots           Return one or slots from the 'Stan' model in
                        'bayesGAM'
getSamples              Extract the MCMC samples from an object of type
                        'bayesGAMfit'
getStanResults          Returns the 'stanfit' object generated by
                        'rstan'
loo_bgam                Calls the 'loo' package to perform efficient
                        approximate leave-one-out cross-validation on
                        models fit with 'bayesGAM'
loo_compare_bgam        Calls the 'loo' package to compare models fit
                        by 'bayesGAMfit'
mcmc_plots              Plotting for MCMC visualization and diagnostics
                        provided by 'bayesplot' package
mvcorrplot              Multivariate response correlation plot for
                        'bayesGAMfit' objects
normal                  Constructor function for Normal priors
np                      Creates design matrices for univariate and
                        bivariate applications
plot                    Additional plotting for MCMC visualization and
                        diagnostics.
posterior_predict       Posterior predictive samples from models fit by
                        'bayesGAM'
ppc_plots               Plotting for MCMC visualization and diagnostics
                        provided by 'bayesplot' package
predict                 Posterior predictive samples from models fit by
                        'bayesGAM', but with new data
reef                    Coral reef data from survey data on 6 sites
showPrior               Display the priors used in 'bayesGAM'
st                      Constructor function for Student-t priors
summary                 Summarizing Model Fits from 'bayesGAM'
waic_bgam               Calls the 'loo' package to calculate the widely
                        applicable information criterion (WAIC)
