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 + fileLICENSE |
| 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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