GENEAclassify: Segmentation and Classification of Accelerometer Data

Segmentation and classification procedures for data from the 'Activinsights GENEActiv' <https://www.activinsights.com/products/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: 1.4.5
Depends: R (≥ 2.14.0), methods, utils, grDevices, MASS, GENEAread, changepoint, signal, rpart
Suggests: waveslim, knitr, rmarkdown
Published: 2017-08-30
Author: Chris Campbell [aut], Aimee Gott [aut], Joss Langford [aut], Charles Sweetland [aut, cre], Activinsights Ltd [cph]
Maintainer: Charles Sweetland <charles at sweetland-solutions.co.uk>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Materials: README
CRAN checks: GENEAclassify results

Downloads:

Reference manual: GENEAclassify.pdf
Vignettes: GENEAclassifyDemo
Package source: GENEAclassify_1.4.5.tar.gz
Windows binaries: r-devel: GENEAclassify_1.4.5.zip, r-release: GENEAclassify_1.4.5.zip, r-oldrel: GENEAclassify_1.4.5.zip
OS X El Capitan binaries: r-release: GENEAclassify_1.4.5.tgz
OS X Mavericks binaries: r-oldrel: GENEAclassify_1.4.5.tgz

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