interpret_vif

Interpret VIF index of multicollinearity.

interpreters

Provide utilities to work with indices of effect size for a wide
variety of models and hypothesis tests (see list of supported models using
the function 'insight::supported_models()'), allowing computation of and
conversion between indices such as Cohen's d, r, odds, etc.
References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.

Mattan S. Ben-Shachar

effectsize

Indices of Effect Size

Dominique Makowski

Daniel Lüdecke

Indrajeet Patil

Brenton M. Wiernik

Rémi Thériault

Ken Kelley

David Stanley

Aaron Caldwell

Jessica Burnett

Johannes Karreth

interpret_vif function

<dl><dt>vif</dt>
<dd>Value or vector of VIFs.</dd>
<dt>rules</dt>
<dd>Can be <code>"default"</code> or a custom set of <code>rules()</code>.</dd></dl>

Arguments

<ul>
<li>Default<ul>
<li>VIF &lt; 5 - Low</li>
<li>5 &lt;= VIF &lt; 10 - Moderate</li>
<li>VIF &gt;= 10 - High</li>
</ul></li>
</ul>

Rules

Interpret the Variance Inflation Factor (VIF) — interpret_vif

<dl>

<dt>vif</dt>
<dd>Value or vector of VIFs.</dd>


<dt>rules</dt>
<dd>Can be <code>"default"</code> or a custom set of <code>rules()</code>.</dd>

</dl>

<ul>
<li>Default<ul>
<li>VIF &lt; 5 - Low</li>
<li>5 &lt;= VIF &lt; 10 - Moderate</li>
<li>VIF &gt;= 10 - High</li>
</ul></li>
</ul>

interpret_vif: Interpret the Variance Inflation Factor (VIF)

Description

Usage

Arguments

Rules

Examples