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 < http://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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("rsprite2")

0.1.0 by Lukas Wallrich, a month ago


https://lukaswallrich.github.io/rsprite2/


Report a bug at https://github.com/LukasWallrich/rsprite2/issues


Browse source code at https://github.com/cran/rsprite2


Authors: Lukas Wallrich [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports checkmate, Rdpack

Suggests ggplot2, testthat, tibble, tidyr, scales


See at CRAN