smargins.default: 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

## Default S3 method:
smargins(model, ..., n = 5000, coef.fun = coef,
  sim.fun = I, linkinv.fun = family(model)$linkinv, vcov.fun = vcov,
  model.frame.fun = model.frame, model.matrix.fun = function(x, data) {    
  model.matrix(formula(x), data = data) })

Arguments

model	A fitted model object.
...	Named values to set predictor variables to.
n	Number of simulations to run.
coef.fun	Function to use for computing coefficients.
sim.fun	Function to use for adjusting simulations.
linkinv.fun	Function to use for cmputing the inverse link.
vcov.fun	Function to use for computing the variance-covariance matrix.
model.frame.fun	Function to use for extracting the model.frame.
model.matrix.fun	Function to use for extracting the model.matrix.

Value

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

Author(s)

Ista Zahn

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