Package: rsprite2 0.2.1

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.

Authors:Lukas Wallrich [aut, cre], Aurélien Allard [ctb], Lukas Jung [ctb]

rsprite2_0.2.1.tar.gz
rsprite2_0.2.1.zip(r-4.5)rsprite2_0.2.1.zip(r-4.4)rsprite2_0.2.1.zip(r-4.3)
rsprite2_0.2.1.tgz(r-4.5-any)rsprite2_0.2.1.tgz(r-4.4-any)rsprite2_0.2.1.tgz(r-4.3-any)
rsprite2_0.2.1.tar.gz(r-4.5-noble)rsprite2_0.2.1.tar.gz(r-4.4-noble)
rsprite2_0.2.1.tgz(r-4.4-emscripten)rsprite2_0.2.1.tgz(r-4.3-emscripten)
rsprite2.pdf |rsprite2.html
rsprite2/json (API)
NEWS

# Install 'rsprite2' in R:
install.packages('rsprite2', repos = c('https://lukaswallrich.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lukaswallrich/rsprite2/issues

Pkgdown site:https://lukaswallrich.github.io

On CRAN:

Conda:

3.30 score 2 stars 10 scripts 234 downloads 6 exports 4 dependencies

Last updated 1 years agofrom:958ffe564a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winOKMar 05 2025
R-4.5-macOKMar 05 2025
R-4.5-linuxOKMar 05 2025
R-4.4-winOKMar 05 2025
R-4.4-macOKMar 05 2025
R-4.4-linuxOKMar 05 2025
R-4.3-winOKMar 05 2025
R-4.3-macOKMar 05 2025

Exports:find_possible_distributionfind_possible_distributionsGRIM_testGRIMMER_testplot_distributionsset_parameters

Dependencies:backportscheckmaterbibutilsRdpack