Package: GGIR
Type: Package
Title: Raw Accelerometer Data Analysis
Version: 2.6-0
Date: 2022-02-02
Authors@R: c(person("Vincent T","van Hees",role=c("aut","cre"),
                  email="v.vanhees@accelting.com"),
                  person("Zhou","Fang",role="ctb"),
                  person("Jing Hua","Zhao",role="ctb"),
                  person("Joe","Heywood",role="ctb"),
                  person("Evgeny","Mirkes",role="ctb"),
                  person("Severine","Sabia",role="ctb"),
                  person("Joan","Capdevila Pujol",role="ctb"),
                  person("Jairo H","Migueles",role="ctb"),
                  person("Matthew R","Patterson",role="ctb"),
                  person("Dan","Jackson",role="ctb"),
                  person("Lena","Kushleyeva",role="ctb"),
                  person("Mathilde","Chen",role="ctb"),
                  person("Manasa","Yerramalla",role="ctb"),
                  person(given = "Tuomo", family = "Nieminen",
                    role = "cph", email = "tuomo.a.nieminen@gmail.com",
                    comment = "holds copyright over read.gt3x code"),
                  person(given = "John",family = "Muschelli",
                    role = "cph", email = "muschellij2@gmail.com",
                    comment = c(ORCID = "0000-0001-6469-1750",
                    "holds copyright over read.gt3x code")),
                  person(given = "Patrick",family = "Bos",
                    role = "ctb", email = "egpbos@gmail.com",
                    comment = c(ORCID = "0000-0002-6033-960X")))
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://www.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
Imports: data.table, Rcpp (>= 0.12.10), foreach, doParallel, signal,
        zoo, bitops, matlab, GENEAread, tuneR, unisensR, ineq,
        read.gt3x, R.utils, activityCounts
Depends: stats, utils, R (>= 3.5.0)
NeedsCompilation: yes
LinkingTo: Rcpp
VignetteBuilder: knitr
ByteCompile: yes
Packaged: 2022-02-02 10:58:08 UTC; vincent
Author: Vincent T van Hees [aut, cre],
  Zhou Fang [ctb],
  Jing Hua Zhao [ctb],
  Joe Heywood [ctb],
  Evgeny Mirkes [ctb],
  Severine Sabia [ctb],
  Joan Capdevila Pujol [ctb],
  Jairo H Migueles [ctb],
  Matthew R Patterson [ctb],
  Dan Jackson [ctb],
  Lena Kushleyeva [ctb],
  Mathilde Chen [ctb],
  Manasa Yerramalla [ctb],
  Tuomo Nieminen [cph] (holds copyright over read.gt3x code),
  John Muschelli [cph] (<https://orcid.org/0000-0001-6469-1750>, holds
    copyright over read.gt3x code),
  Patrick Bos [ctb] (<https://orcid.org/0000-0002-6033-960X>)
Repository: CRAN
Date/Publication: 2022-02-02 12:20:07 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 12:10:07 UTC; windows
Archs: i386, x64
