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  "Title": "Calculate Step and Cadence Metrics from Wearable Data",
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  "Authors@R": "c(\nperson(\"Jairo H\", \"Migueles\",\nemail = \"jairo@jhmigueles.com\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Elroy J\", \"Aguiar\", role = \"fnd\",\ncomment = \"Funding and data support\"),\nperson(\"University of Alabama\", \"\", role = \"fnd\"))",
  "Description": "Provides functions to calculate step- and cadence-based\nmetrics from timestamped accelerometer and wearable device\ndata. Supports CSV and AGD files from 'ActiGraph' devices, CSV\nfiles from 'Fitbit' devices, and step counts derived with R\npackage 'GGIR' <https://github.com/wadpac/GGIR>, with automatic\nhandling of epoch lengths from 1 to 60 seconds. Metrics include\ntotal steps, cadence peaks, minutes and steps in predefined\ncadence bands, and time and steps in moderate-to-vigorous\nphysical activity (MVPA). Methods and thresholds are informed\nby the literature, e.g., Tudor-Locke and Rowe (2012)\n<doi:10.2165/11599170-000000000-00000>, Barreira et al. (2012)\n<doi:10.1249/MSS.0b013e318254f2a3>, and Tudor-Locke et al.\n(2018) <doi:10.1136/bjsports-2017-097628>. The package record\nis also available on Zenodo (2023)\n<doi:10.5281/zenodo.7858094>.",
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