plot.gpr: Plot GPR model for either training or prediction

In GPFDA: Gaussian Process for Functional Data Analysis

Plot GPR model for either training or prediction

Description

Plot Gaussian process for a given an object of class 'gpr'.

Usage

## S3 method for class 'gpr'
plot(
  x,
  fitted = F,
  col.no = 1,
  ylim = NULL,
  realisation = NULL,
  main = NULL,
  cex.points = NULL,
  lwd.points = NULL,
  pch = NULL,
  lwd = NULL,
  ...
)

Arguments

x	The 'gpr' object from either training or predicting of the Gaussian Process.
fitted	Logical. Plot fitted values or not. Default to FALSE. If FALSE, plot the predictions.
col.no	Column number of the input matrix. If the input matrix has more than one columns, than one of them will be used in the plot. Default to be the first one.
ylim	Range value for y-axis.
realisation	Integer identifying which realisation should be plotted (if there are multiple).
main	Title for the plot
cex.points	Graphical parameter
lwd.points	Graphical parameter
pch	Graphical parameter
lwd	Graphical parameter
...	Graphical parameters passed to plot().

Value

A plot

Examples

## See examples in vignette:
# vignette("gpr_ex1", package = "GPFDA")

GPFDA documentation built on Sept. 11, 2023, 1:08 a.m.