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nonstat

0.0.6

Detecting Nonstationarity in Time Series

0packages depend
2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Martin HechtFirst published 2025-04-011 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 43 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
0
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
100%
Return-value docs
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References docs
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Downloads

2K
CRAN downloads in the past year
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Also on98 r2u11 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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0indirect

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Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.6Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-04-01
Total releases
1 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Download size
3.8 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nonstat")
Hecht, M., & Zitzmann, S. (2025). nonstat: Detecting Nonstationarity in Time Series (Version 0.0.6) [Computer software]. https://doi.org/10.32614/CRAN.package.nonstat

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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APA

Balamuta, J. J. (2026). R Observatory: Metrics for nonstat version 0.0.6 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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