GP                      Specify dynamic Gaussian processes
PW                      Specify piecewise linear or logistic trends
RW                      Specify autoregressive dynamic processes
add_residuals.mvgam     Calculate randomized quantile residuals for
                        mvgam objects
all_neon_tick_data      NEON Amblyomma and Ixodes tick abundance survey
                        data
code                    Stan code and data objects for mvgam models
conditional_effects.mvgam
                        Display Conditional Effects of Predictors
dynamic                 Defining dynamic coefficients in mvgam formulae
ensemble.mvgam_forecast
                        Combine mvgam forecasts into evenly weighted
                        ensembles
evaluate_mvgams         Evaluate forecasts from fitted mvgam objects
fitted.mvgam            Expected Values of the Posterior Predictive
                        Distribution
forecast.mvgam          Extract or compute hindcasts and forecasts for
                        a fitted 'mvgam' object
formula.mvgam           Extract formulae from mvgam objects
get_mvgam_priors        Extract information on default prior
                        distributions for an mvgam model
gratia_mvgam_enhancements
                        Enhance mvgam post-processing using gratia
                        functionality
hindcast.mvgam          Extract hindcasts for a fitted 'mvgam' object
index-mvgam             Index 'mvgam' objects
irf.mvgam               Calculate latent VAR impulse response functions
lfo_cv.mvgam            Approximate leave-future-out cross-validation
                        of fitted 'mvgam' objects
logLik.mvgam            Compute pointwise Log-Likelihoods from fitted
                        'mvgam' objects
loo.mvgam               LOO information criteria for 'mvgam' models
lv_correlations         Calculate trend correlations based on mvgam
                        latent factor loadings
mcmc_plot.mvgam         MCMC plots as implemented in 'bayesplot'
model.frame.mvgam       Extract model.frame from a fitted mvgam object
monotonic               Monotonic splines in mvgam
mvgam                   Fit a Bayesian dynamic GAM to a univariate or
                        multivariate set of time series
mvgam-class             Fitted 'mvgam' object description
mvgam_diagnostics       Extract diagnostic quantities of 'mvgam' models
mvgam_draws             Extract posterior draws from fitted 'mvgam'
                        objects
mvgam_families          Supported mvgam families
mvgam_forecast-class    'mvgam_forecast' object description
mvgam_formulae          Details of formula specifications in 'mvgam'
mvgam_irf-class         'mvgam_irf' object description
mvgam_marginaleffects   Helper functions for mvgam marginaleffects
                        calculations
mvgam_trends            Supported mvgam trend models
pairs.mvgam             Create a matrix of output plots from a 'mvgam'
                        object
plot.mvgam              Default mvgam plots
plot.mvgam_irf          Plot impulse responses from an mvgam_irf object
                        This function takes an 'mvgam_irf' object and
                        produces plots of Impulse Response Functions
plot.mvgam_lfo          Plot Pareto-k and ELPD values from a
                        leave-future-out object
plot_mvgam_factors      Latent factor summaries for a fitted mvgam
                        object
plot_mvgam_forecasts    Plot mvgam posterior predictions for a
                        specified series
plot_mvgam_pterms       Plot mvgam parametric term partial effects
plot_mvgam_randomeffects
                        Plot mvgam random effect terms
plot_mvgam_resids       Residual diagnostics for a fitted mvgam object
plot_mvgam_series       Plot observed time series used for mvgam
                        modelling
plot_mvgam_smooth       Plot mvgam smooth terms
plot_mvgam_trend        Plot mvgam latent trend for a specified series
plot_mvgam_uncertainty
                        Plot mvgam forecast uncertainty contributions
                        for a specified series
portal_data             Portal Project rodent capture survey data
posterior_epred.mvgam   Draws from the Expected Value of the Posterior
                        Predictive Distribution
posterior_linpred.mvgam
                        Posterior Draws of the Linear Predictor
posterior_predict.mvgam
                        Draws from the Posterior Predictive
                        Distribution
pp_check.mvgam          Posterior Predictive Checks for 'mvgam' Objects
ppc.mvgam               Plot mvgam posterior predictive checks for a
                        specified series
predict.mvgam           Predict from the GAM component of an mvgam
                        model
print.mvgam             Summary for a fitted mvgam object
residuals.mvgam         Posterior draws of 'mvgam' residuals
score.mvgam_forecast    Compute probabilistic forecast scores for mvgam
                        objects
series_to_mvgam         This function converts univariate or
                        multivariate time series ('xts' or 'ts'
                        objects) to the format necessary for 'mvgam'
sim_mvgam               Simulate a set of time series for mvgam
                        modelling
summary.mvgam           Summary for a fitted mvgam object
update.mvgam            Update an existing 'mvgam' object
