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CRAN: Package activityCounts

activityCounts: Generate ActiLife Counts

ActiLife software generates activity counts from data collected by Actigraph accelerometers <https://s3.amazonaws.com/actigraphcorp.com/wp-content/uploads/2017/11/26205758/ActiGraph-White-Paper_What-is-a-Count_.pdf>. Actigraph is one of the most common research-grade accelerometers. There is considerable research validating and developing algorithms for human activity using ActiLife counts. Unfortunately, ActiLife counts are proprietary and difficult to implement if researchers use different accelerometer brands. The code creates ActiLife counts from raw acceleration data for different accelerometer brands and it is developed based on the study done by Brond and others (2017) <doi:10.1249/MSS.0000000000001344>.

Version: 0.2.1
Depends: R (≥ 2.10)
Imports: seewave, signal, tibble, lubridate, magrittr
Suggests: knitr, rmarkdown, ggplot2, testthat (≥ 3.0.0)
Published: 2025-04-07
DOI: 10.32614/CRAN.package.activityCounts
Author: Ruben Brondeel [aut], Javad Rahimipour Anaraki [aut], Daniel Fuller [aut, cph, cre], SeyedJavad KhataeiPour [aut], Beap Lab [cph]
Maintainer: Daniel Fuller <daniel.fuller at usask.ca>
BugReports: https://github.com/walkabillylab/activityCounts/issues
License: GPL-3
URL: https://github.com/walkabillylab/activityCounts, https://github.com/jbrond/ActigraphCounts
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: activityCounts results

Documentation:

Reference manual: activityCounts.html , activityCounts.pdf
Vignettes: activityCounts (source, R code)

Downloads:

Package source: activityCounts_0.2.1.tar.gz
Windows binaries: r-devel: activityCounts_0.2.1.zip, r-release: activityCounts_0.2.1.zip, r-oldrel: activityCounts_0.2.1.zip
macOS binaries: r-release (arm64): activityCounts_0.2.1.tgz, r-oldrel (arm64): activityCounts_0.2.1.tgz, r-release (x86_64): activityCounts_0.2.1.tgz, r-oldrel (x86_64): activityCounts_0.2.1.tgz
Old sources: activityCounts archive

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