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 [aut, cre], Aurélien Allard [ctb] |
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.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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