Multivariate (Dynamic) Generalized Additive Models


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Documentation for package ‘mvgam’ version 1.1.2

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A B C D E F G H I L M N P R S T U V misc

-- A --

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

-- B --

betar Supported mvgam families

-- C --

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

-- D --

dynamic Defining dynamic coefficients in mvgam formulae

-- E --

evaluate_mvgams Evaluate forecasts from fitted mvgam objects
eval_mvgam Evaluate forecasts from fitted mvgam objects

-- F --

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

-- G --

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

-- H --

hindcast Extract hindcasts for a fitted 'mvgam' object
hindcast.mvgam Extract hindcasts for a fitted 'mvgam' object

-- I --

Index Index 'mvgam' objects
index-mvgam Index 'mvgam' objects

-- L --

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

-- M --

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

-- N --

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

-- P --

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

-- R --

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

-- S --

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

-- T --

te Defining smooths in 'mvgam' formulae
their Index 'mvgam' objects
ti Defining smooths in 'mvgam' formulae
tweedie Supported mvgam families

-- U --

update.mvgam Update an existing 'mvgam' object

-- V --

VAR Specify autoregressive dynamic processes
variables Index 'mvgam' objects
variables.mvgam Index 'mvgam' objects

-- misc --

`mgcv` Index 'mvgam' objects