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, ). This package implements it, drawing heavily on the code for Nick Brown's 'rSPRITE' Shiny app <>. 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.


Reference manual

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0.1.0 by Lukas Wallrich, a month ago

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Authors: Lukas Wallrich [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports checkmate, Rdpack

Suggests ggplot2, testthat, tibble, tidyr, scales

See at CRAN