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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.estimate_rest() to predict sleep stages and
respiratory events..onLoad() declares the Python requirements with
reticulate::py_require().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.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.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.
Health stats visible at Monitor.