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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 "growfunctions" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'growfunctions: Bayesian Non-Parametric Dependent Models for Time-Indexed Functional
  Data'
version: '0.16'
doi: 10.18637/jss.v072.i02
identifiers:
- type: doi
  value: 10.32614/CRAN.package.growfunctions
abstract: Estimates a collection of time-indexed functions under either of Gaussian
  process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations
  where a Dirichlet process mixture allows sub-groupings of the functions to share
  the same covariance or precision parameters. The GP and iGMRF formulations both
  support any number of additive covariance or precision terms, respectively, expressing
  either or both of multiple trend and seasonality.
authors:
- family-names: Savitsky
  given-names: Terrance
  email: tds151@gmail.com
preferred-citation:
  type: article
  title: Bayesian Nonparametric Mixture Estimation for Time-Indexed Functional Data
    in R
  authors:
  - family-names: Savitsky
    given-names: Terrance D.
    email: tds151@gmail.com
  journal: Journal of Statistical Software
  year: '2016'
  volume: '72'
  issue: '2'
  doi: 10.18637/jss.v072.i02
  start: '1'
  end: '34'
repository: https://CRAN.R-project.org/package=growfunctions
date-released: '2023-12-08'
contact:
- family-names: Savitsky
  given-names: Terrance
  email: tds151@gmail.com