refit: Refit a marginaleffects object with new data

In marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests

Refit a marginaleffects object with new data

Description

Refit a marginaleffects object with new data

Usage

refit(object, ...)

## S3 method for class 'marginaleffects'
refit(object, data = NULL, newdata = NULL, vcov = NULL, ...)

## S3 method for class 'predictions'
refit(object, data = NULL, newdata = NULL, vcov = NULL, ...)

## S3 method for class 'comparisons'
refit(object, data = NULL, newdata = NULL, vcov = NULL, ...)

## S3 method for class 'slopes'
refit(object, data = NULL, newdata = NULL, vcov = NULL, ...)

## S3 method for class 'hypotheses'
refit(object, data = NULL, newdata = NULL, vcov = NULL, ...)

Arguments

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

Details

If data is supplied, the underlying model is refitted using that data. If newdata is supplied, the marginaleffects call is re-evaluated with the new data. Both can be supplied together to refit the model and make predictions on new data.

Value

A marginaleffects object

marginaleffects documentation built on Sept. 3, 2026, 9:08 a.m.