plot.mgpr: Plot predictions of GPR model

View source: R/mgp.functions.R

plot.mgprR Documentation

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 Sept. 11, 2023, 1:08 a.m.