Package: GGIR
Type: Package
Title: Raw Accelerometer Data Analysis
Version: 2.9-0
Date: 2023-03-24
Authors@R: c(person("Vincent T","van Hees",role=c("aut","cre"),
                  email="v.vanhees@accelting.com"),
                  person("Jairo H","Migueles",role="aut"),
                  person("Severine","Sabia",role="ctb"),
                  person("Matthew R","Patterson",role="ctb"),
                  person("Zhou","Fang",role="ctb"),
                  person("Joe","Heywood",role="ctb"),
                  person("Joan","Capdevila Pujol",role="ctb"),
                  person("Lena","Kushleyeva",role="ctb"),
                  person("Mathilde","Chen",role="ctb"),
                  person("Manasa","Yerramalla",role="ctb"),
                  person(given = "Patrick",family = "Bos",
                    role = "ctb", email = "egpbos@gmail.com",
                    comment = c(ORCID = "0000-0002-6033-960X")),
                  person(given = "Taren",family = "Sanders", role = "ctb"),
                  person("Medical Research Council UK",  role = c("cph", "fnd")),
                  person("Accelting",  role = c("cph", "fnd")),
                  person("French National Research Agency",  role = c("cph", "fnd")))
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/> and GENEA devices (not for sale), .csv-export data from  'Actigraph' <https://actigraphcorp.com> devices, and .cwa and .wav-format data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format and has either no header or a two column header. Also the package allows for external function embedding.
URL: https://github.com/wadpac/GGIR/,
        https://groups.google.com/forum/#!forum/RpackageGGIR
BugReports: https://github.com/wadpac/GGIR/issues
License: LGPL (>= 2.0, < 3) | file LICENSE
Suggests: testthat, covr, knitr, rmarkdown, actilifecounts, ActCR,
        GGIRread, read.gt3x
Imports: data.table, foreach, doParallel, signal, zoo, tuneR, unisensR,
        ineq, methods
Depends: stats, utils, R (>= 3.3.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-24 09:45:18 UTC; vincent
Author: Vincent T van Hees [aut, cre],
  Jairo H Migueles [aut],
  Severine Sabia [ctb],
  Matthew R Patterson [ctb],
  Zhou Fang [ctb],
  Joe Heywood [ctb],
  Joan Capdevila Pujol [ctb],
  Lena Kushleyeva [ctb],
  Mathilde Chen [ctb],
  Manasa Yerramalla [ctb],
  Patrick Bos [ctb] (<https://orcid.org/0000-0002-6033-960X>),
  Taren Sanders [ctb],
  Medical Research Council UK [cph, fnd],
  Accelting [cph, fnd],
  French National Research Agency [cph, fnd]
Repository: CRAN
Date/Publication: 2023-03-24 12:00:19 UTC
Built: R 4.1.3; ; 2023-04-17 18:02:41 UTC; windows
