Multinomial Logistic Regression In R. 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. Your dependent variable must be nominal.
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We will use the latter for this example. This page uses the following packages. Multinomial logistic regression can be implemented with mlogit from mlogit package and multinom from nnet package.
Surely there are half dozen packages overlapping each other however.
In this chapter we ll show you how to compute multinomial logistic regression in r. Multinomial logistic regression can be implemented with mlogit from mlogit package and multinom from nnet package. Multinomial logistic regression with r. It is an extension of binomial logistic regression.
