plot.gpsimple: Plot a simple gaussian process

In nsgp: Non-Stationary Gaussian Process Regression

Description

Plots a gaussian process. Several boolean parameters for modifying the plot. By default plots the data, posterior mean and 95% interval.

Usage

## S3 method for class 'gpsimple'
plot(x, y = NULL, plotdata = TRUE, plotmean = TRUE,
  plotcov = TRUE, plotnoise = FALSE, samples = 0, sigma = 2,
  title = NULL, legend = FALSE, plotgradient = TRUE, ...)

Arguments

x	the gp-object
y	placeholder variable
plotdata	plot the data (default)
plotmean	plot the GP mean (default)
plotcov	plot the GP covariances (default)
plotnoise	plot the observational noise (default)
samples	plot N samples from the GP
sigma	variance level to plot
title	plot title
legend	plot legend
plotgradient	use gradient graphics
...	...

nsgp documentation built on May 2, 2019, 9:19 a.m.