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: |
1.5.2 |
| Depends: |
R (≥ 2.14.0), methods, utils, grDevices, MASS, GENEAread, changepoint, signal, rpart |
| Suggests: |
waveslim, knitr, rmarkdown |
| Published: |
2021-01-05 |
| 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 |