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: 0.4.0
Depends: R (≥ 4.1.0)
Imports: assertthat, curl, lubridate, methods, readr, reticulate (≥ 1.42.0), rlang
Suggests: tidyr, dplyr, ggplot2, testthat (≥ 3.0.0), callr
Published: 2026-08-22
DOI: 10.32614/CRAN.package.actinet
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, https://jhuwit.github.io/actinet/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: actinet results

Documentation:

Reference manual: actinet.html , actinet.pdf

Downloads:

Package source: actinet_0.4.0.tar.gz
Windows binaries: r-devel: actinet_0.4.0.zip, r-release: actinet_0.4.0.zip, r-oldrel: actinet_0.4.0.zip
macOS binaries: r-release (arm64): actinet_0.4.0.tgz, r-oldrel (arm64): actinet_0.4.0.tgz, r-release (x86_64): actinet_0.4.0.tgz, r-oldrel (x86_64): actinet_0.4.0.tgz
Old sources: actinet archive

Linking:

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