Prediction-class {lgpr} | R Documentation |
An S4 class to represent prior or posterior draws from an additive function distribution.
## S4 method for signature 'Prediction'
show(object)
## S4 method for signature 'Prediction'
component_names(object)
## S4 method for signature 'Prediction'
num_components(object)
## S4 method for signature 'Prediction'
num_paramsets(object)
## S4 method for signature '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.