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: 1.5.5
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>
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_1.5.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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