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A collection of functions that perform operations on time-series accelerometer data, such as identify non-wear time, flag minutes that are part of an activity bout, and find the maximum 10-minute average count value. The functions are generally very flexible, allowing for a variety of algorithms to be implemented. Most of the functions are written in C++ for efficiency.
Version: | 3.1.2 |
Depends: | R (≥ 3.0.0) |
Imports: | Rcpp (≥ 0.12.15), dvmisc |
LinkingTo: | Rcpp |
Suggests: | knitr, rmarkdown, pander |
Published: | 2018-08-24 |
DOI: | 10.32614/CRAN.package.accelerometry |
Author: | Dane R. Van Domelen |
Maintainer: | Dane R. Van Domelen <vandomed at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | yes |
In views: | Tracking |
CRAN checks: | accelerometry results |
Reference manual: | accelerometry.pdf |
Vignettes: |
Functions for Processing Accelerometer Data |
Package source: | accelerometry_3.1.2.tar.gz |
Windows binaries: | r-devel: accelerometry_3.1.2.zip, r-release: accelerometry_3.1.2.zip, r-oldrel: accelerometry_3.1.2.zip |
macOS binaries: | r-release (arm64): accelerometry_3.1.2.tgz, r-oldrel (arm64): accelerometry_3.1.2.tgz, r-release (x86_64): accelerometry_3.1.2.tgz, r-oldrel (x86_64): accelerometry_3.1.2.tgz |
Old sources: | accelerometry archive |
Reverse imports: | ActFrag, ActiSleep, E4tools, mMARCH.AC, postGGIR |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.