Package: spectralGP
Version: 1.3.3
Date: 2015-06-30
Author: Chris Paciorek <paciorek@alumni.cmu.edu>
Maintainer: Chris Paciorek <paciorek@alumni.cmu.edu>
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: http://www.jstatsoft.org/v19/a2
NeedsCompilation: no
Packaged: 2015-07-01 00:43:57 UTC; paciorek
Repository: CRAN
Date/Publication: 2015-07-01 06:11:48
Built: R 4.6.0; ; 2025-08-18 05:03:24 UTC; unix
