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.

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

Documentation:

Reference manual:

rsprite2.pdf

Downloads:

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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