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UpDown

1.2.3

Detecting Group Disturbances from Longitudinal Observations

0packages depend
2.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Tom RohmerFirst published 2023-07-202 releasesCRAN page ↗

Provides an algorithm to detect and characterize disturbances (start, end dates, intensity) that can occur at different hierarchical levels by studying the dynamics of longitudinal observations at the unit level and group level based on Nadaraya-Watson's smoothing curves, but also a shiny app which allows to visualize the observations and the detected disturbances. Finally the package provides a dataframe mimicking a pig farming system subsected to disturbances simulated according to Le et al.(2022) doi:10.1016/j.animal.2022.100496.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 400 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
75%
Documented parameters
75%
Return-value docs
100%
References docs
75%

Downloads

2.1K
CRAN downloads in the past year
Rank #16,875 · ~6/day · ~173/mo
Daily download trend is not available in this view yet.
19230 days
63590 days
2.1K1 year
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Also on115 r2u20 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.3Latest
    2025-08-28 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.1
    2023-07-20
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-07-20
Total releases
2 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Bundled data
1.8 MB / 2 files
Download size
1.8 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("UpDown")
Rohmer, T., David, I., & Le, V. (2025). UpDown: Detecting Group Disturbances from Longitudinal Observations (Version 1.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.UpDown

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 UpDown version 1.2.3 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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