`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`

: Print a summary about the object.`component_names`

: Get names of components.`num_components`

: Get number of components.`num_paramsets`

: Get number of parameter combinations (different parameter vectors) using which predictions were computed.`num_evalpoints`

: 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.