marginaleffects (version 0.4.1)

tidy.marginaleffects: Tidy a marginaleffects object

Description

Tidy a marginaleffects object

Usage

# S3 method for marginaleffects
tidy(x, conf.int = TRUE, conf.level = 0.95, ...)

Arguments

x

An object produced by the marginaleffects function.

conf.int

Logical indicating whether or not to include a confidence interval.

conf.level

The confidence level to use for the confidence interval if conf.int=TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.

...

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.

Details

The tidy function calculates average marginal effects by taking the mean of all the unit-level marginal effects computed by the marginaleffects function.

Examples

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