plot.mgpr: Plot predictions of GPR model

In GPFDA: Gaussian Process for Functional Data Analysis

Plot predictions of GPR model

Description

Plot predictons of each element of the multivariate Gaussian Process for a given an object of class 'mgpr'.

Usage

## S3 method for class 'mgpr'
plot(
  x,
  DataObs,
  DataNew,
  realisation,
  alpha = 0.05,
  ylim = NULL,
  mfrow = NULL,
  cex = 2,
  mar = c(4.5, 7.1, 0.2, 0.8),
  oma = c(0, 0, 0, 0),
  cex.lab = 2,
  cex.axis = 1.5,
  ...
)

Arguments

x	An object of class 'mgpr'.
DataObs	List of observed data.
DataNew	List of test data.
realisation	Index identifying which realisation should be plotted.
alpha	Significance level used for MGPR predictions. Default is 0.05.
ylim	Range of y-axis.
mfrow	Graphical parameter.
cex	Graphical parameter.
mar	Graphical parameter passed to par().
oma	Graphical parameter passed to par().
cex.lab	Graphical parameter passed to par().
cex.axis	Graphical parameter passed to par().
...	Graphical parameters passed to plot().

Value

A plot showing predictions of each element of the multivariate process.

Examples

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

GPFDA documentation built on May 7, 2022, 5:06 p.m.