Package: activityCounts
Type: Package
Title: Generate ActiLife Counts
Version: 0.2.1
Authors@R: c(
  person("Ruben", "Brondeel", role = "aut"),
  person("Javad", "Rahimipour Anaraki", role = "aut"),  
  person("Daniel", "Fuller", role = c("aut", "cph", "cre"), email = "daniel.fuller@usask.ca"),
  person("SeyedJavad", "KhataeiPour", role = c("aut"), email = "skhataeipour@mun.ca"),
  person(family = "Beap Lab", role = "cph")
  )
Description: 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>.
URL: https://github.com/walkabillylab/activityCounts,
        https://github.com/jbrond/ActigraphCounts
BugReports: https://github.com/walkabillylab/activityCounts/issues
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: seewave, signal, tibble, lubridate, magrittr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-04-03 18:47:01 UTC; dlf545
Author: Ruben Brondeel [aut],
  Javad Rahimipour Anaraki [aut],
  Daniel Fuller [aut, cph, cre],
  SeyedJavad KhataeiPour [aut],
  Beap Lab [cph]
Maintainer: Daniel Fuller <daniel.fuller@usask.ca>
Repository: CRAN
Date/Publication: 2025-04-07 16:10:05 UTC
Built: R 4.3.3; ; 2025-04-07 18:41:25 UTC; unix
