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spectralGP  

Approximate Gaussian Processes Using the Fourier Basis
View on CRAN: Click here


Download and install spectralGP package within the R console
Install from CRAN:
install.packages("spectralGP")

Install from Github:
library("remotes")
install_github("cran/spectralGP")

Install by package version:
library("remotes")
install_version("spectralGP", "1.3.3")



Attach the package and use:
library("spectralGP")
Maintained by
Chris Paciorek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-09-25
Latest Update: 2015-07-01
Description:
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.
How to cite:
Chris Paciorek (2005). spectralGP: Approximate Gaussian Processes Using the Fourier Basis. R package version 1.3.3, https://cran.r-project.org/web/packages/spectralGP. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:08), 0.9 (2005-09-25 17:05), 1.0 (2006-08-11 19:09), 1.1 (2007-03-04 13:53), 1.2 (2009-02-12 09:15), 1.3.1 (2012-11-17 20:41), 1.3.2 (2014-12-05 05:01), 1.3.3 (2015-07-01 06:11), 1.3 (2010-02-07 10:16)
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