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
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:

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