smargins: Calculate average marginal effects from a fitted model...

In izahn/smargins: Simulated Average Marginal Effects

Description

Calculate average marginal effects from a fitted model object.

Usage

smargins(model, ..., n = 1000)

Arguments

model	A fitted model object.
...	Further arguments passed to or from other methods.
n	Number of simulations to run.
at	A named list of values to set predictor variables to.

Value

A data.frame containing predictor variables values and expected values of the dependant variable.

Author(s)

Ista Zahn

Examples

library(smargins)
lm.out <- lm(Fertility ~ Education, data = swiss)

smargins(lm.out, at = list(Education = quantile(swiss$Education, c(.25, .50, .75))))

izahn/smargins documentation built on Sept. 11, 2019, 2:08 p.m.