`R/aaa.R`

, `R/methods-Prediction.R`

`Prediction-class.Rd`

An S4 class to represent prior or posterior draws from an additive function distribution.

```
# S4 method for Prediction
show(object)
# S4 method for Prediction
component_names(object)
# S4 method for Prediction
num_components(object)
# S4 method for Prediction
num_paramsets(object)
# S4 method for Prediction
num_evalpoints(object)
```

- object
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.

`f_comp`

component draws

`f`

signal draws

`h`

predictions (signal draws + scaling factor

`c_hat`

, transformed through inverse link function)`x`

a data frame of points (covariate values) where the functions/predictions have been evaluated/sampled

`extrapolated`

Boolean value telling if the function draws are original MCMC draws or if they have been created by extrapolating such draws.