plot-bcgpfitpred-ANY-method: Plot a bcgpfitpred object
In cbdavis33/bcgp: Bayesian Composite Gaussian Processes

Description Usage Arguments Details Value See Also Examples

This plots the observed data in a bcgpfitpred object.

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## S4 method for signature 'bcgpfitpred,ANY'
plot(x, ..., decomposition = FALSE,
  print = TRUE)

`x`	An instance of class bcgpfitpred
`...`	optional parameters
`decomposition`	A logical indicating whether to plot the data process decomposed into global and local processes (TRUE) or the overall process by itself (FALSE). This parameter is ignored when the data has dimension larger than 1. Defaults to FALSE
`print`	A logical indicating whether to automatically print the plots. Defaults to TRUE.

Plotting predictions helps to visualize the predictions at new data locations and how well the model performs. Plotting is only supported for one-dimensional data.

Either one ggplot object or a list of ggplot objects that can be further customized using the ggplot2 package.

bcgpfitpred

simData <- bcgpsims(composite = TRUE, stationary = FALSE, noise = FALSE,
                    d = 1, decomposition = TRUE)

model <- bcgpmodel(x = simData@training$x, y = simData@training$y,
                   composite = TRUE, stationary = FALSE, noise = FALSE)
fit <- bcgp_sampling(model, scaled = TRUE, cores = 4, nmcmc = 1000,
                     burnin = 500)
plot(fit)