An S4 class to represent prior or posterior draws from an additive function distribution.
Prediction object for which to apply a class method.
show(Prediction): Print a summary about the object.
component_names(Prediction): Get names of components.
num_components(Prediction): Get number of components.
num_paramsets(Prediction): Get number of parameter combinations
(different parameter vectors) using which predictions were computed.
num_evalpoints(Prediction): Get number of points where
predictions were computed.
predictions (signal draws + scaling factor
transformed through inverse link function)
a data frame of points (covariate values) where the functions/predictions have been evaluated/sampled
Boolean value telling if the function draws are original MCMC draws or if they have been created by extrapolating such draws.