gpPlot: Gaussian Process Plotter

In gptk: Gaussian Processes Tool-Kit

Description

Plots the GP mean and variance.

Usage

  gpPlot( model, Xstar, mu, S, simpose=NULL, xlim=NULL, ylim=NULL,
          xlab='', ylab='', col='blue', title='' )

Arguments

model	the model structure for which GP mean and variance are to be plotted.
Xstar	the input positions for which the mean and variance will be plotted.
mu	the precomputed GP posterior mean vector.
S	the precomputed GP posterior variance vector.
simpose	vector of datapoints to be superimposed on the plot with added white noise.
xlim	x-axis plotting limits.
ylim	y-axis plotting limits.
xlab	x-axis label.
ylab	y-axis label.
col	color for plotting the GP mean and variance.
title	plot title.

See Also

gpPosteriorMeanVar, polygon, zeroAxes.

gptk documentation built on May 2, 2019, 3:27 p.m.