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

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)

Arguments

object	Prediction object for which to apply a class method.

Methods (by generic)

• 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.

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.

See also

GaussianPrediction