Package: GENEAclassify
Type: Package
Title: Segmentation and Classification of Accelerometer Data
Version: 1.4.18
Date: 2019-08-20
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 = c("aut","cre"), email = "charles@sweetland-solutions.co.uk"),
    person("Activinsights Ltd", role = "cph", email = "info@activinsights.com")
    )
Author: Chris Campbell [aut],
  Aimee Gott [aut],
  Joss Langford [aut],
  Charles Sweetland [aut, cre],
  Activinsights Ltd [cph]
Description: 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.
License: GPL
LazyData: true
Depends: R (>= 2.14.0), methods, utils, grDevices,MASS,GENEAread,
        changepoint,signal,rpart
Suggests: waveslim,knitr,rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-08-21 16:42:58 UTC; ActivInsights
Maintainer: Charles Sweetland <charles@sweetland-solutions.co.uk>
Repository: CRAN
Date/Publication: 2019-08-21 17:20:02 UTC
Built: R 4.1.0; ; 2020-08-03 06:20:46 UTC; windows
