GENEAclassify: Segmentation and Classification of Accelerometer Data

Segmentation and classification procedures for data from the 'Activinsights 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: 1.5.1
Depends: R (≥ 2.14.0), methods, utils, grDevices, MASS, GENEAread, changepoint, signal, rpart
Suggests: waveslim, knitr, rmarkdown
Published: 2020-09-02
Author: Chris Campbell [aut], Aimee Gott [aut], Joss Langford [aut], Charles Sweetland [aut, cre], Activinsights Ltd [cph]
Maintainer: Charles Sweetland <charles at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Materials: README
CRAN checks: GENEAclassify results


Reference manual: GENEAclassify.pdf
Vignettes: GENEAclassifyDemo
Package source: GENEAclassify_1.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: GENEAclassify_1.5.1.tgz, r-oldrel: GENEAclassify_1.5.1.tgz
Old sources: GENEAclassify archive


Please use the canonical form to link to this page.