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TwoRegression: Develop and Apply Two-Regression Algorithms

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.

Version: 1.1.1
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 0.5.0), ggplot2 (≥ 3.4.0), gridExtra (≥ 2.3), lubridate, magrittr (≥ 1.5), PAutilities (≥ 1.1.0), pROC (≥ 1.16.0), RcppRoll, rlang, stats, tidyr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-11-19
DOI: 10.32614/CRAN.package.TwoRegression
Author: Paul R. Hibbing [aut, cre], Vincent T. van Hees [ctb]
Maintainer: Paul R. Hibbing <paulhibbing at gmail.com>
BugReports: https://github.com/paulhibbing/TwoRegression/issues
License: GPL-3
URL: https://github.com/paulhibbing/TwoRegression
NeedsCompilation: no
Citation: TwoRegression citation info
Materials: NEWS
CRAN checks: TwoRegression results

Documentation:

Reference manual: TwoRegression.html , TwoRegression.pdf
Vignettes: The TwoRegression Package (source, R code)

Downloads:

Package source: TwoRegression_1.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): TwoRegression_1.1.1.tgz, r-oldrel (arm64): TwoRegression_1.1.1.tgz, r-release (x86_64): TwoRegression_1.1.1.tgz, r-oldrel (x86_64): TwoRegression_1.1.1.tgz
Old sources: TwoRegression archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TwoRegression to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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