<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Identify Distributions that Match Reported Sample Parameters
(SPRITE)</dc:title>
  <dc:title>R package rsprite2 version 0.2.1</dc:title>
  <dc: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, &lt;doi:10.7287/peerj.preprints.26968v1&gt;). This package implements it, 
    drawing heavily on the code for Nick Brown's 'rSPRITE' Shiny app &lt;https://shiny.ieis.tue.nl/sprite/&gt;. 
    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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: checkmate, Rdpack</dc:relation>
  <dc:relation>Suggests: ggplot2, testthat (&gt;= 3.0.0), tibble, tidyr, rlang, scales</dc:relation>
  <dc:creator>Lukas Wallrich &lt;lukas.wallrich@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Lukas Wallrich [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-2121-5177&gt;),
  Aurélien Allard [ctb]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=rsprite2/LICENSE)</dc:rights>
  <dc:date>2023-07-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=rsprite2</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.rsprite2</dc:identifier>
</oai_dc:dc>
