_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-walking 0.8.2
Propagated dependencies: r-tidyr@1.3.2 r-signal@1.8-1 r-reticulate@1.46.0 r-matrixstats@1.5.0 r-magrittr@2.0.5 r-lubridate@1.9.5 r-dplyr@1.2.1 r-assertthat@0.2.1 r-actibase@0.6.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=walking
Licenses: GPL 3+
Build system: r
Synopsis: Segments Accelerometry Data into Walking Bouts using Open Source Methods
Description:

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.

Total packages: 1