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rsprite2
View on CRAN: Click
here
Download and install rsprite2 package within the R console
Install from CRAN:
install.packages("rsprite2")
Install from Github:
library("remotes")
install_github("cran/rsprite2")
Install by package version:
library("remotes")
install_version("rsprite2", "0.2.1")
Attach the package and use:
library("rsprite2")
Maintained by
Lukas Wallrich
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.rsprite2 . https://github.com/LukasWallrich/rsprite2/issues . https://lukaswallrich.github.io/rsprite2/ . rsprite2 results . rsprite2.pdf . rsprite2_0.2.1.tar.gz . rsprite2_0.2.1.zip . rsprite2_0.2.1.zip . rsprite2_0.2.1.zip . rsprite2_0.2.1.tgz . rsprite2_0.2.1.tgz . rsprite2_0.2.1.tgz . rsprite2_0.2.1.tgz . rsprite2_0.2.1.tgz . rsprite2_0.2.1.tgz . rsprite2 archive . https://CRAN.R-project.org/package=rsprite2 .
First Published: 2021-09-22
Latest Update: 2023-07-06
Description:
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 .
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.
How to cite:
Lukas Wallrich (2021). rsprite2: Identify Distributions that Match Reported Sample Parameters (SPRITE). R package version 0.2.1, https://cran.r-project.org/web/packages/rsprite2. Accessed 02 Apr. 2025.
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imports, suggests or enhances
Complete documentation for rsprite2
Functions, R codes and Examples using
the rsprite2 R package
Some associated functions: GRIMMER_test . GRIM_test . find_possible_distribution . find_possible_distributions . plot_distributions . rsprite2-package . set_parameters .
Some associated R codes: core-functions.R . plot-functions.R . rsprite2-package.R . Full rsprite2 package functions and examples
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