lgp
functionR/aaa.R
, R/methods-lgpfit.R
lgpfit-class.Rd
An S4 class to represent the output of the lgp
function
# S4 method for lgpfit
show(object)
# S4 method for lgpfit
component_names(object)
# S4 method for lgpfit
num_components(object)
# S4 method for lgpfit
postproc(object, verbose = TRUE)
# S4 method for lgpfit
contains_postproc(object)
# S4 method for lgpfit
clear_postproc(object)
# S4 method for lgpfit
get_model(object)
# S4 method for lgpfit
get_stanfit(object)
# S4 method for lgpfit
is_f_sampled(object)
# S4 method for lgpfit,missing
plot(x, y)
The object for which to apply a class method.
Can the method print any messages?
an lgpfit object to visualize
unused argument
show(lgpfit)
: Print information and summary about the fit object.
component_names(lgpfit)
: Get names of model components.
num_components(lgpfit)
: Get number of model components. Returns a
positive integer.
postproc(lgpfit)
: Apply postprocessing. Returns an updated
lgpfit object (copies data).
contains_postproc(lgpfit)
: Check if object contains postprocessing information.
clear_postproc(lgpfit)
: Returns an updated (copies data)
lgpfit object without any postprocessing information.
get_model(lgpfit)
: Get the stored lgpmodel object.
Various properties of the returned object can be accessed as explained
in the documentation of lgpmodel.
get_stanfit(lgpfit)
: Get the stored stanfit
object.
Various properties of the returned object can be accessed or plotted
as explained
here
or in the documentation of stanfit
.
is_f_sampled(lgpfit)
: Determine if inference was done by sampling
the latent signal f
(and its components).
plot(x = lgpfit, y = missing)
: Visualize parameter draws using plot_draws
.
stan_fit
An object of class stanfit
.
model
An object of class lgpmodel
.
num_draws
Total number of parameter draws.
postproc_results
A named list containing possible postprocessing results.
For extracting parameter draws, see get_draws
,
or the rstan
methods for stanfit
objects.
For more detailed plotting functions, see plot_draws
,
plot_beta
, plot_warp
,
plot_effect_times