mnlChange2 {DAMisc} R Documentation

## Average Effects for Multinomial Logistic Regression Models

### Description

Calculates average effects of a variable in multinomial logistic regression holding all other variables at observed values.

### Usage

mnlChange2(obj, varnames, data, diffchange = c("unit", "sd"), n = 1, R = 1500)


### Arguments

 obj An object of class multinom varnames A string identifying the variable to be manipulated. data Data frame used to fit object. diffchange A string indicating the difference in predictor values to calculate the discrete change. sd gives plus and minus one-half standard deviation change around the median and unit gives a plus and minus one-half unit change around the median. n Number of diffchange units to change. R Number of simulations.

### Value

A list with elements:

 mean Average effect of the variable for each category of the dependent variable. lower Lower 95 percent confidence bound upper Upper 95 percent confidence bound

Dave Armstrong

### Examples


library(nnet)
data(france)
mnl.mod <- multinom(vote ~ age + male + retnat + lrself, data=france)
mnlChange2(mnl.mod, "lrself", data=france, )



[Package DAMisc version 1.7.2 Index]