check_symmetry

Uses Hotelling and Solomons test of symmetry by testing if the standardized
nonparametric skew (\(\frac{(Mean - Median)}{SD}\)) is different than 0.
 
This is an underlying assumption of Wilcoxon signed-rank test.

Utilities for computing measures to assess model quality,
which are not directly provided by R's 'base' or 'stats' packages.
These include e.g. measures like r-squared, intraclass correlation
coefficient (Nakagawa, Johnson & Schielzeth (2017)
<doi:10.1098/rsif.2017.0213>), root mean squared error or functions to
check models for overdispersion, singularity or zero-inflation and
more. Functions apply to a large variety of regression models,
including generalized linear models, mixed effects models and Bayesian
models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.

Daniel Lüdecke

performance

Assessment of Regression Models Performance

Dominique Makowski

Mattan S. Ben-Shachar

Indrajeet Patil

Philip Waggoner

Brenton M. Wiernik

Vincent Arel-Bundock

Rémi Thériault

Martin Jullum

gjo11 

check_symmetry function

<dl><dt>x</dt>
<dd>Model or numeric vector</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Uses Hotelling and Solomons test of symmetry by testing if the standardized
nonparametric skew (\(\frac{(Mean - Median)}{SD}\)) is different than 0.
 
This is an underlying assumption of Wilcoxon signed-rank test.

Check distribution symmetry — check_symmetry

<dl>

<dt>x</dt>
<dd>Model or numeric vector</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

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check_symmetry: Check distribution symmetry

Description

Usage

Arguments

Examples