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.
| Version: | 0.2.1 | 
| Imports: | checkmate, Rdpack | 
| Suggests: | ggplot2, testthat (≥ 3.0.0), tibble, tidyr, rlang, scales | 
| Published: | 2023-07-06 | 
| DOI: | 10.32614/CRAN.package.rsprite2 | 
| Author: | Lukas Wallrich | 
| Maintainer: | Lukas Wallrich <lukas.wallrich at gmail.com> | 
| BugReports: | https://github.com/LukasWallrich/rsprite2/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://lukaswallrich.github.io/rsprite2/ | 
| NeedsCompilation: | no | 
| Materials: | README, NEWS | 
| CRAN checks: | rsprite2 results | 
| Reference manual: | rsprite2.html , rsprite2.pdf | 
| Package source: | rsprite2_0.2.1.tar.gz | 
| Windows binaries: | r-devel: rsprite2_0.2.1.zip, r-release: rsprite2_0.2.1.zip, r-oldrel: rsprite2_0.2.1.zip | 
| macOS binaries: | r-release (arm64): rsprite2_0.2.1.tgz, r-oldrel (arm64): rsprite2_0.2.1.tgz, r-release (x86_64): rsprite2_0.2.1.tgz, r-oldrel (x86_64): rsprite2_0.2.1.tgz | 
| Old sources: | rsprite2 archive | 
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