Package: sleeper 0.5.0
sleeper: Estimate Sleep Status from Accelerometry Data
Wraps the classifier from the Sundararajan (2021) <doi:10.1038/s41598-020-79217-x> to estimate sleep using a random forest. Users must download the model files from Sundararajan (2020) <doi:10.5281/zenodo.3752645> in order to use this method.
Authors:
sleeper_0.5.0.tar.gz
sleeper_0.5.0.zip(r-4.7-any)sleeper_0.5.0.zip(r-4.6-any)sleeper_0.5.0.zip(r-4.5-any)
sleeper_0.5.0.tgz(r-4.6-any)sleeper_0.5.0.tgz(r-4.5-any)
sleeper_0.5.0.tar.gz(r-4.7-any)sleeper_0.5.0.tar.gz(r-4.6-any)
sleeper_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sleeper/json (API)
| # Install 'sleeper' in R: |
| install.packages('sleeper', repos = c('https://muschellij2.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7bba737d23. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 188 | ||
| source / vignettes | OK | 238 | ||
| linux-release | OK | 191 | ||
| macos-release | OK | 98 | ||
| macos-oldrel | OK | 94 | ||
| windows-devel | OK | 80 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 116 |
Exports:estimate_sleeppy_estimate_sleeppy_require_sleepersl_download_modelssl_example_modelsl_featuressl_have_modelssl_python_modules_installed
Dependencies:assertthatclicurldplyrgenericsglueherejsonlitelatticelifecyclemagrittrMatrixpillarpkgconfigpngR6rappdirsRcppRcppTOMLreticulaterlangrprojroottibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Run 'estimate_sleep' with Python | py_estimate_sleep |
| Command for 'py_require' for the full 'sleeper' workflow | py_require_sleeper |
| Compact Example Sleep Models | sl_example_model |
| Get Sleep Features | sl_features |
| Check for Downloaded Sleep Models | sl_download_models sl_have_models |
| Estimate Sleep from Wrist-Worn Accelerometry | estimate_sleep sl_python_modules_installed |