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rsprite2  

Identify Distributions that Match Reported Sample Parameters (SPRITE)
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]
All associated links for this package
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, <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.
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
Previous versions and publish date:
0.1.0 (2021-09-22 17:00), 0.2.0 (2022-09-27 09:00)
Other packages that cited rsprite2 R package
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Other R packages that rsprite2 depends, imports, suggests or enhances
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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