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 |
| Author: | John Muschelli 
[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: actinet_0.2.0.zip, r-oldrel: actinet_0.2.0.zip |
| 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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