Package: spectralGP
Version: 1.3.4
Date: 2026-02-05
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>
Authors@R: person("Christopher", "Paciorek", , "paciorek@stat.berkeley.edu", role = c("aut", "cre"))
Title: Approximate Gaussian Processes Using the Fourier Basis
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.
Depends: R (>= 1.9.0)
Imports: graphics, stats, grDevices
LazyLoad: yes
License: GPL (>= 2)
URL: https://doi.org/10.18637/jss.v019.i02
NeedsCompilation: no
Packaged: 2026-02-05 16:56:35 UTC; paciorek
Author: Christopher Paciorek [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-05 22:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 12:52:45 UTC; unix
