A B C D E F G H I L M N P R S T U V misc
add_residuals | Calculate randomized quantile residuals for mvgam objects |
add_residuals.mvgam | Calculate randomized quantile residuals for mvgam objects |
all_neon_tick_data | NEON Amblyomma and Ixodes tick abundance survey data |
and | Index 'mvgam' objects |
AR | Specify autoregressive dynamic processes |
as.array.mvgam | Extract posterior draws from fitted 'mvgam' objects |
as.data.frame.mvgam | Extract posterior draws from fitted 'mvgam' objects |
as.matrix.mvgam | Extract posterior draws from fitted 'mvgam' objects |
as_draws.mvgam | Extract posterior draws from fitted 'mvgam' objects |
as_draws_array.mvgam | Extract posterior draws from fitted 'mvgam' objects |
as_draws_df.mvgam | Extract posterior draws from fitted 'mvgam' objects |
as_draws_list.mvgam | Extract posterior draws from fitted 'mvgam' objects |
as_draws_matrix.mvgam | Extract posterior draws from fitted 'mvgam' objects |
as_draws_rvars.mvgam | Extract posterior draws from fitted 'mvgam' objects |
betar | Supported mvgam families |
CAR | Specify autoregressive dynamic processes |
code | Print the model code from an mvgam object |
coef.mvgam | Summary for a fitted mvgam object |
coefficient | Index 'mvgam' objects |
compare_mvgams | Evaluate forecasts from fitted mvgam objects |
conditional_effects.mvgam | Display Conditional Effects of Predictors |
dynamic | Defining dynamic coefficients in mvgam formulae |
evaluate_mvgams | Evaluate forecasts from fitted mvgam objects |
eval_mvgam | Evaluate forecasts from fitted mvgam objects |
find_predictors.mvgam | Helper functions for mvgam marginaleffects calculations |
find_predictors.mvgam_prefit | Helper functions for mvgam marginaleffects calculations |
fitted.mvgam | Expected Values of the Posterior Predictive Distribution |
forecast | Extract or compute hindcasts and forecasts for a fitted 'mvgam' object |
forecast.mvgam | Extract or compute hindcasts and forecasts for a fitted 'mvgam' object |
formula.mvgam | Extract formulae from mvgam objects |
formula.mvgam_prefit | Extract formulae from mvgam objects |
get_coef.mvgam | Helper functions for mvgam marginaleffects calculations |
get_data.mvgam | Helper functions for mvgam marginaleffects calculations |
get_data.mvgam_prefit | Helper functions for mvgam marginaleffects calculations |
get_mvgam_priors | Extract information on default prior distributions for an mvgam model |
get_predict.mvgam | Helper functions for mvgam marginaleffects calculations |
get_vcov.mvgam | Helper functions for mvgam marginaleffects calculations |
GP | Specify dynamic Gaussian processes |
hindcast | Extract hindcasts for a fitted 'mvgam' object |
hindcast.mvgam | Extract hindcasts for a fitted 'mvgam' object |
Index | Index 'mvgam' objects |
index-mvgam | Index 'mvgam' objects |
lfo_cv | Approximate leave-future-out cross-validation of fitted 'mvgam' objects |
lfo_cv.mvgam | Approximate leave-future-out cross-validation of fitted 'mvgam' objects |
logLik.mvgam | Compute pointwise Log-Likelihoods from fitted 'mvgam' objects |
log_posterior.mvgam | Extract diagnostic quantities of 'mvgam' models |
loo.mvgam | LOO information criteria for 'mvgam' models |
loo_compare.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 |
model.frame.mvgam_prefit | 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_marginaleffects | Helper functions for mvgam marginaleffects calculations |
mvgam_trends | Supported mvgam trend models |
names | Index 'mvgam' objects |
nb | Supported mvgam families |
neff_ratio | Extract diagnostic quantities of 'mvgam' models |
neff_ratio.mvgam | Extract diagnostic quantities of 'mvgam' models |
nmix | Supported mvgam families |
nuts_params | Extract diagnostic quantities of 'mvgam' models |
nuts_params.mvgam | Extract diagnostic quantities of 'mvgam' models |
pairs.mvgam | Create a matrix of output plots from a 'mvgam' object |
plot.mvgam | Default mvgam plots |
plot.mvgam_conditional_effects | Display Conditional Effects of Predictors |
plot.mvgam_forecast | Plot mvgam posterior predictions for a specified series |
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_fc | Plot mvgam posterior predictions for a specified series |
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 | Draws from the Expected Value of the Posterior Predictive Distribution |
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 |
ppc | Plot mvgam posterior predictive checks for a specified series |
ppc.mvgam | Plot mvgam posterior predictive checks for a specified series |
pp_check | Posterior Predictive Checks for 'mvgam' Objects |
pp_check.mvgam | Posterior Predictive Checks for 'mvgam' Objects |
Predict.matrix.mod.smooth | Monotonic splines in mvgam |
Predict.matrix.moi.smooth | Monotonic splines in mvgam |
predict.mvgam | Predict from the GAM component of an mvgam model |
print.mvgam | Summary for a fitted mvgam object |
print.mvgam_conditional_effects | Display Conditional Effects of Predictors |
PW | Specify piecewise linear or logistic trends |
residuals.mvgam | Posterior draws of 'mvgam' residuals |
rhat | Extract diagnostic quantities of 'mvgam' models |
rhat.mvgam | Extract diagnostic quantities of 'mvgam' models |
roll_eval_mvgam | Evaluate forecasts from fitted mvgam objects |
RW | Specify autoregressive dynamic processes |
score | Compute probabilistic forecast scores for mvgam objects |
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' |
set_coef.mvgam | Helper functions for mvgam marginaleffects calculations |
sim_mvgam | Simulate a set of discrete time series for mvgam modelling |
smooth.construct.mod.smooth.spec | Monotonic splines in mvgam |
smooth.construct.moi.smooth.spec | Monotonic splines in mvgam |
student_t | Supported mvgam families |
summary.mvgam | Summary for a fitted mvgam object |
summary.mvgam_prefit | Summary for a fitted mvgam object |
te | Defining smooths in 'mvgam' formulae |
their | Index 'mvgam' objects |
ti | Defining smooths in 'mvgam' formulae |
tweedie | Supported mvgam families |
update.mvgam | Update an existing 'mvgam' object |
VAR | Specify autoregressive dynamic processes |
variables | Index 'mvgam' objects |
variables.mvgam | Index 'mvgam' objects |
`mgcv` | Index 'mvgam' objects |