add_confint             Add a confidence interval to an existing object
add_constant            Add a constant to estimated values
add_fitted              Add fitted values from a model to a data frame
add_fitted.gam          Add fitted values from a GAM to a data frame
add_fitted_samples      Add posterior draws from a model to a data
                        object
add_partial_residuals   Add partial residuals
add_residuals           Add residuals from a model to a data frame
add_residuals.gam       Add residuals from a GAM to a data frame
add_sizer               Add indicators of significant change after
                        SiZeR
appraise                Model diagnostic plots
assemble                Prepare plots via 'ggplot2' and assembles them
                        as a list
assemble.gam            Plot estimated smooths from a fitted GAM
basis                   Basis expansions for smooths
basis_size              Extract basis dimension of a smooth
bird_move               Simulated bird migration data
boundary                Extract the boundary of a soap film smooth
check_user_select_smooths
                        Select smooths based on user's choices
coef.scam               Extract coefficients from a fitted 'scam'
                        model.
compare_smooths         Compare smooths across models
conditional_values      Conditional predictions from a GAM
confint.fderiv          Point-wise and simultaneous confidence
                        intervals for derivatives of smooths
confint.gam             Point-wise and simultaneous confidence
                        intervals for smooths
data_combos             All combinations of factor levels plus typical
                        values of continuous variables
data_sim                Simulate example data for fitting GAMs
data_slice              Prepare a data slice through model covariates
derivative_samples      Posterior expectations of derivatives from an
                        estimated model
derivatives             Derivatives of estimated smooths via finite
                        differences
difference_smooths      Differences of factor smooth interactions
dispersion              Dispersion parameter for fitted model
draw                    Generic plotting via 'ggplot2'
draw.basis              Plot basis functions
draw.compare_smooths    Plot comparisons of smooths
draw.conditional_values
                        Plot conditional predictions
draw.derivatives        Plot derivatives of smooths
draw.difference_smooth
                        Plot differences of smooths
draw.evaluated_parametric_term
                        Plot estimated parametric effects
draw.gam                Plot estimated smooths from a fitted GAM
draw.gamlss             Plot smooths of a GAMLSS model estimated by
                        'GJRM::gamlss'
draw.mgcv_smooth        Plot basis functions
draw.pairwise_concurvity
                        Plot concurvity measures
draw.parametric_effects
                        Plot estimated effects for model parametric
                        terms
draw.penalty_df         Display penalty matrices of smooths using
                        'ggplot'
draw.rootogram          Draw a rootogram
draw.smooth_estimates   Plot the result of a call to
                        'smooth_estimates()'
draw.smooth_samples     Plot posterior smooths
edf                     Effective degrees of freedom for smooths and
                        GAMs
eval_smooth             S3 methods to evaluate individual smooths
evaluate_parametric_term
                        Evaluate parametric model terms
evaluate_smooth         Evaluate a smooth
evenly                  Create a sequence of evenly-spaced values
factor_combos           All combinations of factor levels
family.gam              Extract family objects from models
family_name             Name of family used to fit model
family_type             Extracts the type of family in a consistent way
fitted_samples          Draw fitted values from the posterior
                        distribution
fitted_values           Generate fitted values from a estimated GAM
fix_offset              Fix the names of a data frame containing an
                        offset variable.
fixef                   Extract fixed effects estimates
fixef.gam               Extract fixed effects estimates from a fitted
                        GAM
gaussian_draws          Posterior samples using a simple Metropolis
                        Hastings sampler
get_by_smooth           Extract an factor-by smooth by name
get_smooth              Extract an mgcv smooth by name
get_smooths_by_id       Extract an mgcv smooth given its position in
                        the model object
gss_vocab               Data from the General Social Survey (GSS) from
                        the National Opinion Research Center of the
                        University of Chicago
gw_f0                   Gu and Wahba test functions
has_theta               Are additional parameters available for a GAM?
is_by_smooth            Tests for by variable smooths
is_factor_term          Is a model term a factor (categorical)?
is_mgcv_family          Is an object one of mgcv's family objects?
is_mgcv_smooth          Check if objects are smooths or are a
                        particular type of smooth
is_multivariate_y       Is a model multivariate?
is_offset               Is a model term an offset?
link                    Extract link and inverse link functions from
                        models
load_mgcv               Load mgcv quietly
lp_matrix               Return the linear prediction matrix of a fitted
                        GAM
mh_draws                Posterior samples using a Gaussian
                        approximation to the posterior distribution
model_concurvity        Concurvity of an estimated GAM
model_constant          Extract the model constant term
model_vars              List the variables involved in a model fitted
                        with a formula
n_eta                   The Number of linear predictors in model
n_smooths               How many smooths in a fitted model
nb_theta                Negative binomial parameter theta
null_deviance           Extract the null deviance of a fitted model
observed_fitted_plot    Plot of fitted against observed response values
overview                Provides an overview of a model and the terms
                        in that model
parametric_effects      Estimated values for parametric model terms
parametric_terms        Names of any parametric terms in a GAM
partial_derivatives     Partial derivatives of estimated multivariate
                        smooths via finite differences
partial_residuals       Partial residuals
penalty                 Extract and tidy penalty matrices
post_draws              Low-level Functions to generate draws from the
                        posterior distribution of model coefficients
posterior_samples       Draw samples from the posterior distribution of
                        an estimated model
predicted_samples       Draw new response values from the conditional
                        distribution of the response
qq_plot                 Quantile-quantile plot of model residuals
quantile_residuals      Randomised residuals
ref_level               Return the reference or specific level of a
                        factor
ref_sims                Reference simulation data
rep_first_factor_value
                        Repeat the first level of a factor n times
residuals_hist_plot     Histogram of model residuals
residuals_linpred_plot
                        Plot of residuals versus linear predictor
                        values
response_derivatives    Derivatives on the response scale from an
                        estimated GAM
rootogram               Rootograms to assess goodness of model fit
rtw                     Simulator for tweedie LSS models
scale_fill_partial_effect
                        Default diverging red-blue colour palette for
                        partial effects
seq_min_max_eps         Create a sequence of evenly-spaced values
                        adjusted to accommodate a small adjustment
shift_values            Shift numeric values in a data frame by an
                        amount 'eps'
simulate.gam            Simulate from the posterior distribution of a
                        GAM
smallAges               Lead-210 age-depth measurements for Small Water
smooth_coef_indices     Indices of the parametric terms for a
                        particular smooth
smooth_coefs            Coefficients for a particular smooth
smooth_data             Generate regular data over the covariates of a
                        smooth
smooth_dim              Dimension of a smooth
smooth_estimates        Evaluate smooths at covariate values
smooth_label            Extract the label for a smooth used by 'mgcv'
smooth_samples          Posterior draws for individual smooths
smooth_terms            List the variables involved in smooths
smooth_type             Determine the type of smooth and return it n a
                        human readable form
smooths                 Names of smooths in a GAM
spline_values           Evaluate a spline at provided covariate values
term_names              Extract names of all variables needed to fit a
                        GAM or a smooth
term_variables          Names of variables involved in a specified
                        model term
theta                   General extractor for additional parameters in
                        mgcv models
tidy_basis              A tidy basis representation of a smooth object
to_na                   Sets the elements of vector to 'NA'
too_far                 Exclude values that lie too far from the
                        support of data
too_far_to_na           Set rows of data to 'NA' if the lie too far
                        from a reference set of values
transform_fun           Transform estimated values and confidence
                        intervals by applying a function
typical_values          Typical values of model covariates
user_draws              Handle user-supplied posterior draws
variance_comp           Variance components of smooths from smoothness
                        estimates
vars_from_label         Returns names of variables from a smooth label
which_smooths           Identify a smooth term by its label
worm_plot               Worm plot of model residuals
zooplankton             Madison lakes zooplankton data
