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kcpRS

1.1.1

Kernel Change Point Detection on the Running Statistics

0packages depend
2.7Kdownloads / year
82.8%test coverage
11/13checks pass

Overview

About
Maintained by Kristof MeersFirst published 2019-05-063 releasesCRAN page ↗

The running statistics of interest is first extracted using a time window which is slid across the time series, and in each window, the running statistics value is computed. KCP (Kernel Change Point) detection proposed by Arlot et al. (2012) arXiv:1202.3878 is then implemented to flag the change points on the running statistics (Cabrieto et al., 2018, doi:10.1016/j.ins.2018.03.010). Change points are located by minimizing a variance criterion based on the pairwise similarities between running statistics which are computed via the Gaussian kernel. KCP can locate change points for a given k number of change points. To determine the optimal k, the KCP permutation test is first carried out by comparing the variance of the running statistics extracted from the original data to that of permuted data. If this test is significant, then there is sufficient evidence for at least one change point in the data. Model selection is then used to determine the optimal k>0.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 3.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.03
82.8%
Coverage · measured lines
100%
Documentation · exports
8
Dependencies · direct
Check history
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
58%

Downloads

2.7K
CRAN downloads in the past year
Rank #16,071 · ~7/day · ~225/mo
Daily download trend is not available in this view yet.
15530 days
65890 days
2.7K1 year
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Also on372 r2u17 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (7)
Imports (1)
LinkingTo (1)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (7)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (5)
Contributor
Contributor
Contributor
Contributor · added in 1.1.0
Package Timeline

3 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
  • 1.1.1Latest
    2023-10-25 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.0
    2023-01-20 · diff ↗
  • 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
  • 1.0.0
    2019-05-06
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-05-06
Total releases
3 / 7 yrs
License
GPL (>= 2) OSI
Bundled data
19 KB / 2 files
Download size
42 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kcpRS")
Meers, K., Adolf, J., Cabrieto, J., Ceulemans, E., Kuppens, P., Schat, E., & Tuerlinckx, F. (2023). kcpRS: Kernel Change Point Detection on the Running Statistics (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.kcpRS

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 kcpRS version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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