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costat

2.4.1

Time Series Costationarity Determination

0packages depend
3.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Guy NasonFirst published 2010-08-317 releasesCRAN page ↗

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) doi:10.18637/jss.v055.i01.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
1
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
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
91%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
100%

Downloads

3.2K
CRAN downloads in the past year
Rank #10,661 · ~9/day · ~265/mo
Daily download trend is not available in this view yet.
23330 days
90390 days
3.2K1 year
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (2)
R >= 2.14wavethresh
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
parallel
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

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

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 2.4.1Latest
    2023-09-06 · current release · diff ↗
  • unarchivedReturned to CRAN
    2023-09-06
  • archivedRemoved from CRAN
    2023-08-19
    email to the maintainer is undeliverable
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 2.4
    2018-04-06 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
Show 12 earlier events
  • R
    R 3.1.0 released · 2014-04-10
  • 2.3
    2013-10-14 · diff ↗
  • 2.2
    2013-06-04 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 2.1
    2012-11-27 · diff ↗
  • 2.0
    2012-11-27 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • R
    R 2.14.0 released · 2011-10-31
  • R
    R 2.13.0 released · 2011-04-13
  • R
    R 2.12.0 released · 2010-10-15
  • 1.1-1
    2010-08-31
  • R
    R 2.11.0 released · 2010-04-22

Package metadata

First published
2010-08-31
Total releases
7 / 16 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.14
Bundled data
48 KB / 3 files
Download size
85 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("costat")
Nason, G., & Cardinali, A. (2023). costat: Time Series Costationarity Determination (Version 2.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.costat

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

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for costat version 2.4.1 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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