walking: Segments Accelerometry Data into Walking Bouts using Open Source Methods

Segments walking from accelerometry data using 'forest' python module <https://github.com/onnela-lab/forest> from Yi (2025) <doi:10.2196/71375>, 'Verisense' original from Rowlands (2022) <doi:10.1080/02640414.2022.2147134> and 'Verisense' revised from Maylor (2022)<doi:10.3390/s22249984>, and Step Detection Threshold (SDT) from Ducharme (2021) <doi:10.1123/jmpb.2021-0011> methods.

Version: 0.7.0
Imports: actibase, assertthat, dplyr, lubridate, magrittr, matrixStats, reticulate (≥ 1.42.0), signal, tidyr
Suggests: readr, testthat (≥ 3.0.0)
Published: 2026-08-03
DOI: 10.32614/CRAN.package.walking (may not be active yet)
Author: John Muschelli ORCID iD [aut, cre]
Maintainer: John Muschelli <muschellij2 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: walking results

Documentation:

Reference manual: walking.html , walking.pdf

Downloads:

Package source: walking_0.7.0.tar.gz
Windows binaries: r-devel: walking_0.7.0.zip, r-release: not available, r-oldrel: walking_0.7.0.zip
macOS binaries: r-release (arm64): walking_0.7.0.tgz, r-oldrel (arm64): walking_0.7.0.tgz, r-release (x86_64): walking_0.7.0.tgz, r-oldrel (x86_64): walking_0.7.0.tgz

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