demGpCov2D: Gaussian Process 2D Covariance Demo

In alkalait/gptk: Gaussian Processes Tool-Kit

Description

Gives the joint distribution for f1 and f2, two values of a function sampled from a Gaussian process. The plots show the joint distributions as well as the conditional for f2 given f1.

Usage

  demGpCov2D( ind=c(1,2), path = getwd(),
              filename = paste('demGpCov2D', ind[1],'_', ind[2], sep=''),
              png=FALSE, gif=FALSE )

Arguments

ind	indices of function values.
path	path where the plot images are saved.
filename	name of saved images.
png	save image as png.
gif	save series of images as animated gif.

See Also

demGpSample, basePlot, zeroAxes.

alkalait/gptk documentation built on March 7, 2020, 6:30 a.m.