Man pages for mvgam
Multivariate (Dynamic) Generalized Additive Models
| add_residuals.mvgam | Calculate randomized quantile residuals for 'mvgam' objects |
| all_neon_tick_data | NEON Amblyomma and Ixodes tick abundance survey data |
| augment.mvgam | Augment an 'mvgam' object's data |
| code | Stan code and data objects for 'mvgam' models |
| conditional_effects.mvgam | Display conditional effects of predictors for 'mvgam' models |
| dynamic | Defining dynamic coefficients in 'mvgam' formulae |
| ensemble.mvgam_forecast | Combine forecasts from 'mvgam' models into evenly weighted... |
| evaluate_mvgams | Evaluate forecasts from fitted 'mvgam' objects |
| fevd.mvgam | Calculate latent VAR forecast error variance decompositions |
| fitted.mvgam | Expected values of the posterior predictive distribution for... |
| forecast.mvgam | Extract or compute hindcasts and forecasts for a fitted... |
| formula.mvgam | Extract formulae from 'mvgam' objects |
| get_mvgam_priors | Extract information on default prior distributions for an... |
| GP | Specify dynamic Gaussian process trends in 'mvgam' models |
| gratia_mvgam_enhancements | Enhance post-processing of 'mvgam' models using 'gratia'... |
| hindcast.mvgam | Extract hindcasts for a fitted 'mvgam' object |
| how_to_cite.mvgam | Generate a methods description for 'mvgam' models |
| index-mvgam | Index 'mvgam' objects |
| irf.mvgam | Calculate latent VAR impulse response functions |
| jsdgam | Fit Joint Species Distribution Models in 'mvgam' |
| lfo_cv.mvgam | Approximate leave-future-out cross-validation of fitted... |
| 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 latent factor loadings... |
| mcmc_plot.mvgam | MCMC plots of 'mvgam' parameters, as implemented in... |
| model.frame.mvgam | Extract model.frame from a fitted 'mvgam' object |
| monotonic | Monotonic splines in 'mvgam' models |
| mvgam | Fit a Bayesian Dynamic GAM to Univariate or Multivariate Time... |
| 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_fevd-class | 'mvgam_fevd' object description |
| mvgam_forecast-class | 'mvgam_forecast' object description |
| mvgam_formulae | Details of formula specifications in 'mvgam' models |
| mvgam_irf-class | 'mvgam_irf' object description |
| mvgam_marginaleffects | Helper functions for 'marginaleffects' calculations in... |
| mvgam-package | mvgam: Multivariate (Dynamic) Generalized Additive Models |
| mvgam_residcor-class | 'mvgam_residcor' object description |
| mvgam_trends | Supported latent trend models in 'mvgam' |
| mvgam_use_cases | Example use cases for 'mvgam' |
| ordinate.jsdgam | Latent variable ordination plots from jsdgam objects |
| pairs.mvgam | Create a matrix of output plots from a 'mvgam' object |
| piecewise_trends | Specify piecewise linear or logistic trends in 'mvgam' models |
| pipe | Pipe operator |
| plot.mvgam | Default plots for 'mvgam' models |
| plot_mvgam_factors | Latent factor summaries for a fitted 'mvgam' object |
| plot.mvgam_fevd | Plot forecast error variance decompositions from an... |
| plot_mvgam_forecasts | Plot posterior forecast predictions from 'mvgam' models |
| plot.mvgam_irf | Plot impulse responses from an 'mvgam_irf' object |
| plot.mvgam_lfo | Plot Pareto-k and ELPD values from a 'mvgam_lfo' object |
| plot_mvgam_pterms | Plot parametric term partial effects for 'mvgam' models |
| plot_mvgam_randomeffects | Plot random effect terms from 'mvgam' models |
| plot.mvgam_residcor | Plot residual correlations based on latent factors |
| 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 smooth terms from 'mvgam' models |
| plot_mvgam_trend | Plot latent trend predictions from 'mvgam' models |
| plot_mvgam_uncertainty | Plot forecast uncertainty contributions from 'mvgam' models |
| portal_data | Portal Project rodent capture survey data |
| posterior_epred.mvgam | Draws from the expected value of the posterior predictive... |
| posterior_linpred.mvgam | Posterior draws of the linear predictor for 'mvgam' objects |
| posterior_predict.mvgam | Draws from the posterior predictive distribution for 'mvgam'... |
| pp_check.mvgam | Posterior Predictive Checks for 'mvgam' models |
| ppc.mvgam | Plot conditional posterior predictive checks from 'mvgam'... |
| predict.mvgam | Predict from a fitted 'mvgam' model |
| print.mvgam | Print a fitted 'mvgam' object |
| print.mvgam_summary | Print method for mvgam_summary objects |
| reexports | Objects exported from other packages |
| residual_cor.jsdgam | Extract residual correlations based on latent factors |
| residuals.mvgam | Posterior draws of residuals from 'mvgam' models |
| RW | Specify autoregressive dynamic processes in 'mvgam' |
| score.mvgam_forecast | Compute probabilistic forecast scores for 'mvgam' models |
| series_to_mvgam | Convert timeseries object to format necessary for 'mvgam'... |
| sim_mvgam | Simulate a set of time series for modelling in 'mvgam' |
| stability.mvgam | Calculate measures of latent VAR community stability |
| summary.mvgam | Summary for a fitted 'mvgam' models |
| summary.mvgam_fevd | Posterior summary of forecast error variance decompositions |
| summary.mvgam_forecast | Posterior summary of hindcast and forecast objects |
| summary.mvgam_irf | Posterior summary of impulse responses |
| tidy.mvgam | Tidy an 'mvgam' object's parameter posteriors |
| update.mvgam | Update an existing 'mvgam' model object |
| ZMVN | Specify correlated residual processes in 'mvgam' |
