The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

GENEAclassify: Segmentation and Classification of Accelerometer Data

Segmentation and classification procedures for data from the 'Activinsights GENEActiv' <https://activinsights.com/technology/geneactiv/> accelerometer that provides the user with a model to guess behaviour from test data where behaviour is missing. Includes a step counting algorithm, a function to create segmented data with custom features and a function to use recursive partitioning provided in the function rpart() of the 'rpart' package to create classification models.

Version: 1.5.5
Depends: R (≥ 2.14.0), methods, utils, grDevices, MASS, GENEAread, changepoint, signal, rpart
Suggests: waveslim, knitr, rmarkdown
Published: 2024-02-19
DOI: 10.32614/CRAN.package.GENEAclassify
Author: Chris Campbell [aut], Aimee Gott [aut], Joss Langford [aut], Charles Sweetland [aut], Penny Sweetland [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph]
Maintainer: Jia Ying Chua <jiayingc at activinsights.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Materials: README
CRAN checks: GENEAclassify results

Documentation:

Reference manual: GENEAclassify.pdf
Vignettes: GENEAclassifyDemo

Downloads:

Package source: GENEAclassify_1.5.5.tar.gz
Windows binaries: r-devel: GENEAclassify_1.5.5.zip, r-release: GENEAclassify_1.5.5.zip, r-oldrel: GENEAclassify_1.5.5.zip
macOS binaries: r-release (arm64): GENEAclassify_1.5.5.tgz, r-oldrel (arm64): GENEAclassify_1.5.5.tgz, r-release (x86_64): GENEAclassify_1.5.5.tgz, r-oldrel (x86_64): GENEAclassify_1.5.5.tgz
Old sources: GENEAclassify archive

Linking:

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

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.
Health stats visible at Monitor.