spectralGP: Approximate Gaussian Processes Using the Fourier Basis

Routines for creating, manipulating, and performing Bayesian inference about Gaussian processes in one and two dimensions using the Fourier basis approximation: simulation and plotting of processes, calculation of coefficient variances, calculation of process density, coefficient proposals (for use in MCMC). It uses R environments to store GP objects as references/pointers.

Version: 1.3.3
Depends: R (≥ 1.9.0)
Imports: graphics, stats, grDevices
Published: 2015-07-01
Author: Chris Paciorek
Maintainer: Chris Paciorek <paciorek at alumni.cmu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.jstatsoft.org/v19/a2
NeedsCompilation: no
Citation: spectralGP citation info
Materials: NEWS
CRAN checks: spectralGP results

Downloads:

Reference manual: spectralGP.pdf
Package source: spectralGP_1.3.3.tar.gz
Windows binaries: r-devel: spectralGP_1.3.3.zip, r-release: spectralGP_1.3.3.zip, r-oldrel: spectralGP_1.3.3.zip
OS X El Capitan binaries: r-release: spectralGP_1.3.3.tgz
OS X Mavericks binaries: r-oldrel: spectralGP_1.3.3.tgz
Old sources: spectralGP archive

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