Package: GENEAclassify
Type: Package
Title: Segmentation and Classification of Accelerometer Data
Version: 1.4.16
Date: 2018-11-16
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: 6.1.0
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-11-16 15:31:43 UTC; CharlesSweetland
Maintainer: Charles Sweetland <charles@sweetland-solutions.co.uk>
Repository: CRAN
Date/Publication: 2018-11-16 16:30:03 UTC
Built: R 3.4.4; ; 2019-04-25 19:43:46 UTC; windows
