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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "spectralGP" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'spectralGP: Approximate Gaussian Processes Using the Fourier Basis'
version: 1.3.4
identifiers:
- type: doi
  value: 10.32614/CRAN.package.spectralGP
abstract: '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.'
authors:
- family-names: Paciorek
  given-names: Christopher
  email: paciorek@stat.berkeley.edu
preferred-citation:
  type: article
  title: Bayesian smoothing with Gaussian processes using Fourier basis functions
    in the spectralGP library
  authors:
  - family-names: Paciorek
    given-names: Christopher
    email: paciorek@stat.berkeley.edu
  journal: Journal of Statistical Software
  volume: '19'
  issue: '2'
  year: '2007'
repository: https://paciorek.r-universe.dev
commit: 05371b51b27ff4e66a87dbe6fa1a28f98d87a832
url: https://doi.org/10.18637/jss.v019.i02
date-released: '2026-02-05'
contact:
- family-names: Paciorek
  given-names: Christopher
  email: paciorek@stat.berkeley.edu
references:
- type: report
  title: Bayesian smoothing of irregularly-spaced data using Fourier basis functions
  authors:
  - family-names: Paciorek
    given-names: Christopher
  institution:
    name: Harvard University Biostatistics
  issue: '49'
  year: '2006'
  url: https://biostats.bepress.com/harvardbiostat/paper49/