marginaleffects (version 0.4.1)

tidy.predictions: Tidy a predictions object

Description

Calculate average adjusted predictions by taking the mean of all the unit-level adjusted predictions computed by the predictions function.

Usage

# S3 method for predictions
tidy(x, ...)

Arguments

x

An object produced by the predictions function.

...

Additional arguments are passed to the predict() method used to compute adjusted predictions. These arguments are particularly useful for mixed-effects or bayesian models (see the online vignettes on the marginaleffects website). Available arguments can vary from model to model, depending on the range of supported arguments by each modeling package. See the "Model-Specific Arguments" section of the ?marginaleffects document for a non-exhaustive list of available arguments.

Value

A "tidy" data.frame of summary statistics which conforms to the broom package specification.

Examples

# NOT RUN {
mod <- lm(mpg ~ hp * wt + factor(gear), data = mtcars)
mfx <- predictions(mod)
tidy(mfx)
# }