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  "Description": "Estimates sleep from wrist accelerometry and epoch-level\nactivity data. Implements sleep-period-time guiders based on\nangle changes, posture, least-active periods, sustained\ninactivity, low activity, and diary or fixed time windows;\ncombines guider windows with sustained-inactivity bouts to\nproduce sleep/wake labels and consensus estimates. Provides\ndiary helpers and Tudor-Locke sleep-period summaries, and\ninterfaces to the 'asleep' and 'sleeper' machine-learning\nestimators. The angle-based and sustained-inactivity methods\nare described by van Hees et al. (2015)\n<doi:10.1371/journal.pone.0142533> and van Hees et al. (2018)\n<doi:10.1038/s41598-018-31266-z>; the sleep-period summary\nmethod by Tudor-Locke et al. (2014)\n<doi:10.1139/apnm-2013-0173>; and the model estimators by Yuan\net al. (2024) <doi:10.1038/s41746-024-01065-0> and Sundararajan\net al. (2021) <doi:10.1038/s41598-020-79217-x>.",
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