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actinet: Estimate Human Activity from 'Accelerometry' Data

Interfaces the 'actinet' Python module <https://github.com/OxWearables/actinet> for an activity classification model based on self-supervised learning for wrist-worn accelerometer data.

Version: 0.2.0
Imports: assertthat, curl, magrittr, readr, reticulate (≥ 1.42.0)
Suggests: tidyr, dplyr, ggplot2, testthat (≥ 3.0.0)
Published: 2026-08-05
DOI: 10.32614/CRAN.package.actinet (may not be active yet)
Author: John Muschelli ORCID iD [aut, cre]
Maintainer: John Muschelli <muschellij2 at gmail.com>
BugReports: https://github.com/jhuwit/actinet/issues
License: MIT + file LICENSE
URL: https://github.com/jhuwit/actinet
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: actinet results

Documentation:

Reference manual: actinet.html , actinet.pdf

Downloads:

Package source: actinet_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): actinet_0.2.0.tgz, r-oldrel (arm64): actinet_0.2.0.tgz, r-release (x86_64): actinet_0.2.0.tgz, r-oldrel (x86_64): actinet_0.2.0.tgz

Linking:

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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.