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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 "nonstat" in publications use:'
type: software
license: GPL-3.0-only
title: 'nonstat: Detecting Nonstationarity in Time Series'
version: 0.0.6
doi: 10.32614/CRAN.package.nonstat
abstract: 'Provides a nonvisual procedure for screening time series for nonstationarity
  in the context of intensive longitudinal designs, such as ecological momentary assessments.
  The method combines two diagnostics: one for detecting trends (based on the split
  R-hat statistic from Bayesian convergence diagnostics) and one for detecting changes
  in variance (a novel extension inspired by Levene''s test). This approach allows
  researchers to efficiently and reproducibly detect violations of the stationarity
  assumption, especially when visual inspection of many individual time series is
  impractical. The procedure is suitable for use in all areas of research where time
  series analysis is central. For a detailed description of the method and its validation
  through simulations and empirical application, see Zitzmann, S., Lindner, C., Lohmann,
  J. F., & Hecht, M. (2024) "A Novel Nonvisual Procedure for Screening for Nonstationarity
  in Time Series as Obtained from Intensive Longitudinal Designs" <https://www.researchgate.net/publication/384354932_A_Novel_Nonvisual_Procedure_for_Screening_for_Nonstationarity_in_Time_Series_as_Obtained_from_Intensive_Longitudinal_Designs>.'
authors:
- family-names: Hecht
  given-names: Martin
  email: martin.hecht@hsu-hh.de
- family-names: Zitzmann
  given-names: Steffen
  email: steffen.zitzmann@medicalschool-hamburg.de
repository: https://martinhecht.r-universe.dev
commit: ac85f82570bd88be878cca218bbde1a14b8071dc
date-released: '2025-03-30'
contact:
- family-names: Hecht
  given-names: Martin
  email: martin.hecht@hsu-hh.de