prune.marginaleffects

Remove large attributes from marginaleffects objects to reduce memory usage.
Warning: This will disable many useful post-processing features of <code>marginaleffects</code>

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

prune.marginaleffects function

<dl><dt>tree</dt>
<dd>A marginaleffects object (predictions, comparisons, slopes, or hypotheses)</dd>
<dt>component</dt>
<dd>A character string indicating which component to prune: "all" or "modeldata".</dd>
<dt>...</dt>
<dd>Unused</dd></dl>

Arguments

Prune marginaleffects objects to reduce memory usage — prune.marginaleffects

<dl>

<dt>tree</dt>
<dd>A marginaleffects object (predictions, comparisons, slopes, or hypotheses)</dd>


<dt>component</dt>
<dd>A character string indicating which component to prune: "all" or "modeldata".</dd>


<dt>...</dt>
<dd>Unused</dd>

</dl>

prune.marginaleffects: Prune marginaleffects objects to reduce memory usage

Description

Usage

Value

Arguments

Details