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: | 1.5.1 |
| 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 springhead-data.com> |
| 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: GENEAclassify_1.5.1.zip, r-release: GENEAclassify_1.5.1.zip, r-oldrel: GENEAclassify_1.5.1.zip |
| macOS binaries: | r-release: GENEAclassify_1.5.1.tgz, r-oldrel: GENEAclassify_1.5.1.tgz |
| Old sources: | GENEAclassify archive |
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