{ "_id": "6a1e87cc1d7bb097a0a67c3e", "Package": "stepmetrics", "Type": "Package", "Title": "Calculate Step and Cadence Metrics from Wearable Data", "Version": "1.1.0", "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' , 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, Barreira et al. (2012)\n, and Tudor-Locke et al.\n(2018) . The package record\nis also available on Zenodo (2023)\n.", "License": "AGPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "URL": "https://github.com/jhmigueles/stepmetrics", "BugReports": "https://github.com/jhmigueles/stepmetrics/issues", "Language": "en-US", "Repository": "https://jhmigueles.r-universe.dev", "Date/Publication": "2025-11-04 07:44:30 UTC", "RemoteUrl": "https://github.com/jhmigueles/stepmetrics", "RemoteRef": "HEAD", "RemoteSha": "745574676373f8bfb0983a02c2d58fb2461613ca", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-02 07:32:59 UTC", "User": "root" }, "Author": "Jairo H Migueles [aut, cre],\nElroy J Aguiar [fnd] (Funding and data support),\nUniversity of Alabama [fnd]", "Maintainer": "Jairo H Migueles ", "MD5sum": "ee0f741cca20506413665e4ebc0328f5", "_user": "jhmigueles", "_type": "src", "_file": "stepmetrics_1.1.0.tar.gz", "_fileid": "84c0381537ea066c164f1bc943792fea0b55c65e6efe426ecd6de44bd60fc196", "_filesize": 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