DESCRIPTION

Package: rsprite2
Title: Identify Distributions that Match Reported Sample Parameters (SPRITE)
Version: 0.2.1
Authors@R: 
    c(person(given = "Lukas",
           family = "Wallrich",
           role = c("aut", "cre"),
           email = "lukas.wallrich@gmail.com",
           comment = c(ORCID = "0000-0003-2121-5177")),
    person(given = "Aurélien",
           family = "Allard",
           role = c("ctb"),
           email = "aurelien.ab.allard@gmail.com"),
    person(given = "Lukas",
           family = "Jung",
           role = c("ctb"),
           email = "jung-lukas@gmx.net"))
Description: The SPRITE algorithm creates possible distributions of discrete responses
    based on reported sample parameters, such as mean, standard deviation and range 
    (Heathers et al., 2018, <doi:10.7287/peerj.preprints.26968v1>). This package implements it, 
    drawing heavily on the code for Nick Brown's 'rSPRITE' Shiny app <https://shiny.ieis.tue.nl/sprite/>. 
    In addition, it supports the modeling of distributions based on multi-item (Likert-type) 
    scales and the use of restrictions on the frequency of particular responses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: 
    ggplot2,
    testthat (>= 3.0.0),
    tibble,
    tidyr,
    rlang,
    scales
Config/testthat/edition: 3
URL: https://lukaswallrich.github.io/rsprite2/
BugReports: https://github.com/LukasWallrich/rsprite2/issues
Imports: 
    checkmate,
    Rdpack
RdMacros: Rdpack