An S4 class to represent a data set simulated using the additive GP formalism

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

An S4 class to represent a data set simulated using the additive GP formalism

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

# S4 method for class 'lgpsim,missing'
plot(x, y, ...)

Arguments

object

an lgpsim object

x

an lgpsim object to plot

y

not used

...

optional arguments passed to plot_sim

Methods (by generic)

  • show(lgpsim): Show summary of object.

  • plot(x = lgpsim, y = missing): Plot the data and generating process. For more information see plot_sim.

Slots

data

the actual data

response

name of the response variable in the data

components

the drawn function components

kernel_matrices

the covariance matrices for each gp

info

A list with fields

  • par_ell the used lengthscale parameters

  • par_cont the parameters used to generate the continuous covariates

  • p_signal signal proportion

effect_times

A list with fields

  • true possible true effect times that generate the disease effect

  • observed possible observed effect times