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: 2026-10-04 08:43:12 UTC; root
Author: Christopher Paciorek [aut, cre]
Repository: https://paciorek.r-universe.dev
Date/Publication: 2026-02-05 22:51:31 UTC
RemoteUrl: https://github.com/cran/spectralGP
RemoteRef: HEAD
RemoteSha: 05371b51b27ff4e66a87dbe6fa1a28f98d87a832