get_varcov_args

<p>Take a <code><a href="/link/summary()?package=marginaleffects&version=0.25.1" data-mini-rdoc="marginaleffects::summary()">summary()</a></code> style <code>vcov</code> argument and convert it to
<code>insight::get_varcov()</code></p>

internal

Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.

Vincent Arel-Bundock

marginaleffects

Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis
Tests

Noah Greifer

Etienne Bacher

Grant McDermott

Andrew Heiss

get_varcov_args function

<p>Take a <code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code> style <code>vcov</code> argument and convert it to
<code>insight::get_varcov()</code></p>

Take a summary() style vcov argument and convert it to
insight::get_varcov() — get_varcov_args

Take a <code>summary()</code> style <code>vcov</code> argument and convert it to
<code>insight::get_varcov()</code>

get_varcov_args: Take a `summary()` style `vcov` argument and convert it to `insight::get_varcov()`

Description

Usage

Arguments