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: 0.1.2
Depends: R (≥ 2.10)
Imports: seewave, signal, tibble, lubridate, magrittr
Suggests: knitr, rmarkdown, ggplot2
Published: 2019-07-31
Author: Ruben Brondeel [aut], Javad Rahimipour Anaraki [aut], SeyedJavad KhataeiPour [aut, cre], Daniel Fuller [aut, cph], Beap Lab [cph]
Maintainer: SeyedJavad KhataeiPour <skhataeipour at mun.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.pdf
Vignettes: activityCounts

Downloads:

Package source: activityCounts_0.1.2.tar.gz
Windows binaries: r-devel: activityCounts_0.1.2.zip, r-release: activityCounts_0.1.2.zip, r-oldrel: activityCounts_0.1.2.zip
macOS binaries: r-release (arm64): activityCounts_0.1.2.tgz, r-oldrel (arm64): activityCounts_0.1.2.tgz, r-release (x86_64): activityCounts_0.1.2.tgz, r-oldrel (x86_64): activityCounts_0.1.2.tgz

Reverse dependencies:

Reverse imports: GGIR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=activityCounts to link to this page.