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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: |
0.4.0 |
| 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 
[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:
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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.