refit

refit.marginaleffects

refit.predictions

refit.comparisons

refit.slopes

refit.hypotheses

Refit a marginaleffects object with new data

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

refit function

<dl><dt>object</dt>
<dd>A marginaleffects object (predictions, comparisons, or slopes)</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods</dd>
<dt>data</dt>
<dd>Optional data frame to refit the underlying model</dd>
<dt>newdata</dt>
<dd>Optional data frame to re-evaluate the marginaleffects call</dd>
<dt>vcov</dt>
<dd>Optional logical or variance-covariance matrix specification to pass to the marginaleffects call</dd></dl>

Arguments

Refit a marginaleffects object with new data — refit

<dl>

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


<dt>...</dt>
<dd>Additional arguments passed to methods</dd>


<dt>data</dt>
<dd>Optional data frame to refit the underlying model</dd>


<dt>newdata</dt>
<dd>Optional data frame to re-evaluate the marginaleffects call</dd>


<dt>vcov</dt>
<dd>Optional logical or variance-covariance matrix specification to pass to the marginaleffects call</dd>

</dl>

Refit a marginaleffects object with new data

refit: Refit a marginaleffects object with new data

Description

Usage

Value

Arguments

Details