Package: rsprite2 0.2.1.9002

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_0.2.1.9002.tar.gz
rsprite2_0.2.1.9002.zip(r-4.7-any)rsprite2_0.2.1.9002.zip(r-4.6-any)rsprite2_0.2.1.9002.zip(r-4.5-any)
rsprite2_0.2.1.9002.tgz(r-4.6-any)rsprite2_0.2.1.9002.tgz(r-4.5-any)
rsprite2_0.2.1.9002.tar.gz(r-4.7-any)rsprite2_0.2.1.9002.tar.gz(r-4.6-any)
rsprite2_0.2.1.9002.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rsprite2/json (API)

# 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/docs site:https://lukaswallrich.github.io

On CRAN:

Conda:

3.34 score 2 stars 11 scripts 285 downloads 7 exports 4 dependencies

Last updated from:78231f7575. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK110
source / vignettesOK155
linux-releaseOK123
macos-releaseOK145
macos-oldrelOK167
windows-develOK71
windows-releaseOK92
windows-oldrelOK101
wasm-releaseOK82

Exports:boundary_testfind_possible_distributionfind_possible_distributionsGRIM_testGRIMMER_testplot_distributionsset_parameters

Dependencies:backportscheckmaterbibutilsRdpack