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