Prediction-class: An S4 class to represent prior or posterior draws from an...

In jtimonen/lgpr: Longitudinal Gaussian Process Regression

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

Description

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

Usage

## 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)

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.

See Also

GaussianPrediction

jtimonen/lgpr documentation built on Oct. 12, 2023, 11:13 p.m.