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:
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-4.4-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
Last updated 8 months agofrom:958ffe564a. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:find_possible_distributionfind_possible_distributionsGRIM_testGRIMMER_testplot_distributionsset_parameters
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Find a possible distribution. | find_possible_distribution |
| Find several possible distributions. | find_possible_distributions |
| GRIM test for mean | GRIM_test |
| GRIMMER test for standard deviation | GRIMMER_test |
| Plot distributions | plot_distributions |
| Define parameters for SPRITE algorithm | set_parameters |
