DESCRIPTION

Package: interpretablePA
Title: Making Accelerometer Data Interpretable
Version: 0.0.0.9000
Authors@R: 
    c(person(given = "Fabian", family = "Schwendinger", email = "fabian.schwendinger@unibas.ch", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-7795-1478")),
    person(given = "Denis", family = "Infanger", email = "denis.infanger@unibas.ch", role = c("aut"),
           comment = c(ORCID = "0000-0001-9028-7110")),
        person(given = "Alex", family = "Rowlands", email = "alex.rowlands@leicester.ac.uk", role = "ctb",
           comment = c(ORCID = "0000-0002-1463-697X")),
    person(given = "Jonathan", family = "Wagner", email = "jonathan.wagner@unibas.ch", role = "ctb",
           comment = c(ORCID = "0000-0002-3436-588X")),
    person(given = "Raphael", family = "Knaier", email = "raphael.knaier@unibas.ch", role = "ctb",
           comment = c(ORCID = "0000-0002-0244-7768")),
    person(given = "Timo", family = "Hinrichs", email = "timo.hinrichs@unibas.ch", role = "ctb",
           comment = c(ORCID = "0000-0001-6200-307X")),
    person(given = "Arno", family = "Schmidt-Trucksaess", email = "arno.schmidt-trucksaess@unibas.ch", role = "ctb",
           comment = c(ORCID = "0000-0002-4662-3911")))
Maintainer: Fabian Schwendinger <fabian.schwendinger@unibas.ch>
Description: This application supports the use of cut-point-free metrics, namely AvAcc and IG, assessed by wrist-worn triaxial accelerometers.{interpretablePA} will turn abstract numbers into understandable information. This will be achieved by the following two steps: classifying the levels of physical activity based on age- and sex-specific reference values. and translating the cut-point-free accelerometer metrics into meaningful outcomes.
License: 'use_lgpl_license(version = 3, include_future = TRUE)'
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
Depends: 
    R (>= 2.10),
    tidyverse (>= 1.3.1),
    shiny (>= 1.7.2),
    palmerpenguins (>= 0.1.0),
    shinythemes (>= 1.2.0),
    shinyalert (>= 3.0.0),
    gamlss (>= 5.4-3),
    rms (>= 6.3-0),
    scales (>= 1.2.1),
    ggpubr (>= 0.4.0),
    fontawesome (>= 0.3.0),
    shinybusy (>= 0.3.1),
    shinyBS (>= 0.61.1),
    shinyjs (>= 2.1.0),
    DT (>= 0.25),
    directlabels (>= 2021.1.13),
    ggplot2 (>= 3.4.2)
LazyData: true
Suggests: 
    knitr,
    rmarkdown
VignetteBuilder: knitr