rester 0.1.0
- Initial CRAN submission.
- Initial version wrapping the AcceleRest model (https://github.com/NielsRLorenzen/AcceleRest), with a
citation to Lorenzen et al. (2026) doi:10.64898/2026.01.28.26345056.
- Added
ar_download_repo()/ar_extract_repo()
and ar_download_weights() to download and extract the model
code and pretrained weights, and ar_setup() to do
both.
- Added
estimate_rest() to predict sleep stages and
respiratory events.
.onLoad() declares the Python requirements with
reticulate::py_require().- Device files are read with
actiread::acti_read(), and
data are standardized, given a sample rate, and gap-filled with
actibase. Compressed files the reader cannot handle are
decompressed to a temporary file, which is deleted after reading.
- On macOS,
KMP_DUPLICATE_LIB_OK=TRUE is set (if unset)
so torch and OpenMP-using readers (e.g. GGIRread) can run in the same R
session.