Multinomial Logistic Regression In R. In this chapter we ll show you how to compute multinomial logistic regression in r. Multinomial logistic regression is used when the target variable is categorical with more than two levels.
Multinomial logistic regression r data analysis examples. It is an extension of binomial logistic regression. You must convert your categorical independent variables to dummy variables.
This page uses the following packages.
In this chapter we ll show you how to compute multinomial logistic regression in r. It is used when the outcome involves more than two classes. Surely there are half dozen packages overlapping each other however. Multinomial logistic regression is used to model nominal outcome variables in which the log odds of the outcomes are modeled as a linear combination of the predictor variables.
