Calculate Step and Cadence Metrics from Wearable Data R package stepmetrics version 1.0.3 Provides functions to calculate step- and cadence-based metrics from timestamped accelerometer and wearable device data. Supports CSV and AGD files from 'ActiGraph' devices, CSV files from 'Fitbit' devices, and step counts derived with R package 'GGIR' <https://github.com/wadpac/GGIR>, with automatic handling of epoch lengths from 1 to 60 seconds. Metrics include total steps, cadence peaks, minutes and steps in predefined cadence bands, and time and steps in moderate-to-vigorous physical activity (MVPA). Methods and thresholds are informed by the literature, e.g., Tudor-Locke and Rowe (2012) <doi:10.2165/11599170-000000000-00000>, Barreira et al. (2012) <doi:10.1249/MSS.0b013e318254f2a3>, and Tudor-Locke et al. (2018) <doi:10.1136/bjsports-2017-097628>. The package record is also available on Zenodo (2023) <doi:10.5281/zenodo.7858094>. Software Depends: R (>= 3.5.0) Imports: PhysicalActivity, tools, stats, utils Suggests: testthat (>= 3.0.0), RSQLite, spelling, withr Jairo H Migueles <jairo@jhmigueles.com> Comprehensive R Archive Network (CRAN) Jairo H Migueles [aut, cre], Elroy J Aguiar [fnd] (Funding and data support), University of Alabama [fnd] AGPL (>= 3) 2025-10-01 application/tgz https://CRAN.R-project.org/package=stepmetrics doi:10.32614/CRAN.package.stepmetrics en-US