# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "costat" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'costat: Time Series Costationarity Determination'
version: 2.4.1
doi: 10.18637/jss.v055.i01
identifiers:
- type: doi
  value: 10.32614/CRAN.package.costat
abstract: Contains functions that can determine whether a time series is second-order
  stationary or not (and hence evidence for locally stationarity). Given two non-stationary
  series (i.e. locally stationary series) this package can then discover time-varying
  linear combinations that are second-order stationary. Cardinali, A. and Nason, G.P.
  (2013) <https://doi.org/10.18637/jss.v055.i01>.
authors:
- family-names: Nason
  given-names: Guy
  email: g.nason@imperial.ac.uk
- family-names: Cardinali
  given-names: Alessandro
preferred-citation:
  type: article
  title: Costationarity of Locally Stationary Time Series Using costat
  authors:
  - name: Alessandro Cardinali
    email: alessandro.cardinali@plymouth.ac.uk
  - family-names: Nason
    given-names: Guy
    email: g.nason@imperial.ac.uk
  journal: Journal of Statistical Software
  year: '2013'
  volume: '55'
  issue: '1'
  url: https://www.jstatsoft.org/v55/i01/
  doi: 10.18637/jss.v055.i01
  start: '1'
  end: '22'
repository: https://guynason.r-universe.dev
commit: 3338ff2e17d9a55ae568c0d2b3e31ecb69df4c08
date-released: '2023-09-06'
contact:
- family-names: Nason
  given-names: Guy
  email: g.nason@imperial.ac.uk