Package: GENEAclassify
Type: Package
Title: Segmentation and Classification of Accelerometer Data
Version: 1.5.5
Date: 2024-02-07
Authors@R: c(
            person("Chris", "Campbell", role = "aut", email = "ccampbell@mango-solutions.com"),
            person("Aimee", "Gott", role = "aut", email = "agott@mango-solutions.com"),
            person("Joss", "Langford", role = "aut", email = "joss@activinsights.co.uk"),
            person("Charles", "Sweetland", role = "aut", email = "charles@springhead-data.com"),
            person("Penny", "Sweetland", role = c("aut"), email = "penny@springhead-data.com"),
            person("Jia Ying", "Chua", role = c("aut","cre"), email = "jiayingc@activinsights.com"),
            person("Activinsights Ltd", role = "cph", email = "info@activinsights.com")
            )
Author: Chris Campbell [aut],
  Aimee Gott [aut],
  Joss Langford [aut],
  Charles Sweetland [aut],
  Penny Sweetland [aut],
  Jia Ying Chua [aut, cre],
  Activinsights Ltd [cph]
Description: 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.
License: GPL
LazyData: true
Depends: R (>= 2.14.0), methods, utils, grDevices, MASS, GENEAread,
        changepoint, signal, rpart
Suggests: waveslim, knitr, rmarkdown
RoxygenNote: 7.2.3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-02-08 09:10:29 UTC; JiaYingChua
Maintainer: Jia Ying Chua <jiayingc@activinsights.com>
Repository: CRAN
Date/Publication: 2024-02-19 19:30:02 UTC
Built: R 4.5.0; ; 2025-01-26 17:54:30 UTC; unix
