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In rsprite2: Identify Distributions that Match Reported Sample Parameters (SPRITE)

rsprite2: Identify Distributions that Match Reported Sample Parameters (SPRITE)

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, \Sexpr[results=rd]{tools:::Rd_expr_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.

Author(s)

Maintainer: Lukas Wallrich [e-mail] (ORCID)

Other contributors:

• Aurélien Allard [e-mail] [contributor]

See Also

Useful links:

• https://lukaswallrich.github.io/rsprite2/

• Report bugs at https://github.com/LukasWallrich/rsprite2/issues

rsprite2 documentation built on July 9, 2023, 6:43 p.m.