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rsprite2: Identify Distributions that Match Reported Sample Parameters (SPRITE)
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.
Getting started
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Package details |
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| Author | Lukas Wallrich [aut, cre] (<https://orcid.org/0000-0003-2121-5177>), Aurélien Allard [ctb] |
| Maintainer | Lukas Wallrich <lukas.wallrich@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| URL | https://lukaswallrich.github.io/rsprite2/ |
| Package repository | View on CRAN |
| Installation |
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