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

Source: R/aaa.R, R/methods-Prediction.R

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

# S4 method for class 'Prediction'
show(object)

# S4 method for class 'Prediction'
component_names(object)

# S4 method for class 'Prediction'
num_components(object)

# S4 method for class 'Prediction'
num_paramsets(object)

# S4 method for class 'Prediction'
num_evalpoints(object)

Arguments

object

Prediction object for which to apply a class method.

Methods (by generic)

  • 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.

Slots

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.