Package: GGIR
Type: Package
Title: Raw Accelerometer Data Analysis
Version: 3.1-0
Date: 2024-05-06
Authors@R: c(person("Vincent T","van Hees",role=c("aut","cre"),
                    email="v.vanhees@accelting.com"),
             person("Jairo H","Migueles",role="aut",
                    email="jairo@jhmigueles.com",
                    comment = c(ORCID = "0000-0003-0366-6935")),
             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("Chenxuan","Zhao",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/>, binary (.gt3x) and .csv-export data from  'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export 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. Also the package allows for external function embedding.
URL: https://github.com/wadpac/GGIR/,
        https://groups.google.com/forum/#!forum/RpackageGGIR,
        https://wadpac.github.io/GGIR/
BugReports: https://github.com/wadpac/GGIR/issues
License: Apache License (== 2.0) | file LICENSE
Suggests: testthat, covr, knitr, rmarkdown, actilifecounts, readxl
Imports: data.table, foreach, doParallel, signal, zoo, unisensR, ineq,
        methods, psych, irr, lubridate, GGIRread, ActCR, read.gt3x
Depends: stats, utils, R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-06 13:45:32 UTC; vvanh
Author: Vincent T van Hees [aut, cre],
  Jairo H Migueles [aut] (<https://orcid.org/0000-0003-0366-6935>),
  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],
  Chenxuan Zhao [ctb],
  Medical Research Council UK [cph, fnd],
  Accelting [cph, fnd],
  French National Research Agency [cph, fnd]
Repository: CRAN
Date/Publication: 2024-05-06 19:00:13 UTC
Built: R 4.2.3; ; 2024-05-06 22:45:30 UTC; unix
