find_possible_distribution

This function aims to find a possible distribution that would give rise to
the observed sample parameters. For that, you need to pass a list of parameters,
best created with <code>set_parameters</code>

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.

Lukas Wallrich

rsprite2

Identify Distributions that Match Reported Sample Parameters
(SPRITE)

Aurélien Allard

find_possible_distribution function

<dl><dt>parameters</dt>
<dd>List of parameters, see <code>set_parameters</code></dd>
<dt>seed</dt>
<dd>An integer to use as the seed for random number generation. Set this in scripts to ensure reproducibility.</dd>
<dt>values_only</dt>
<dd>Should only values or a more informative list be returned. See Value section.</dd></dl>

Arguments

Find a possible distribution. — find_possible_distribution

<dl>

<dt>parameters</dt>
<dd>List of parameters, see <code>set_parameters</code></dd>


<dt>seed</dt>
<dd>An integer to use as the seed for random number generation. Set this in scripts to ensure reproducibility.</dd>


<dt>values_only</dt>
<dd>Should only values or a more informative list be returned. See Value section.</dd>

</dl>

find_possible_distribution: Find a possible distribution.

Description

Usage

Value

Arguments

Examples