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TwoRegression

1.1.1

Develop and Apply Two-Regression Algorithms

0packages depend
1.8Kdownloads / year
31.8%test coverage
13/13checks pass

Overview

About
Maintained by Paul R. HibbingFirst published 2018-03-193 releasesCRAN page ↗GitHub ↗

Facilitates development and application of two-regression algorithms for research-grade wearable devices. It provides an easy way for users to access previously-developed algorithms, and also to develop their own. Initial motivation came from Hibbing PR, LaMunion SR, Kaplan AS, & Crouter SE (2018) doi:10.1249/MSS.0000000000001532. However, other algorithms are now supported. Please see the associated references in the package documentation for full details of the algorithms that are supported.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.15
31.8%
Coverage · measured lines
100%
Documentation · exports
11
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
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
88%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

1.8K
CRAN downloads in the past year
Rank #18,214 · ~5/day · ~152/mo
Daily download trend is not available in this view yet.
15030 days
59990 days
1.8K1 year
Compare downloads with other packages →
Also on114 r2u15 autocran

Repository

Repository
0Stars
0Forks
2Open issues
0Open PRs
1Releases
64Commits
1Contributors
License GPL-3.0 · 64 commits · Last activity 2025-11-15

Releases over time

2022-09-08 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/paulhibbing/tworegression on 2026-08-09.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

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

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Listed in earlier versions (2)
no longer listed · 0.1.2 to 1.1.1
no longer listed · 0.1.2 to 1.1.1
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
  • 1.1.1Latest
    2025-11-19 · current release · diff ↗
  • unarchivedReturned to CRAN
    2025-11-19
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2023-04-19
    requires archived package 'PAutilities'
  • 1.0.0
    2022-09-05 · 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
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.2
    2018-03-19
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-03-19
Total releases
3 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
111 KB / 6 files
Download size
767 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TwoRegression")
Hibbing, P. R., & van Hees, V. T. (2025). TwoRegression: Develop and Apply Two-Regression Algorithms (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.TwoRegression

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 TwoRegression version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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