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Multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems.

Multinomial Logistic Regression

In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc.).

Multinomial logistic regression is known by a variety of other names, including multiclass LR, multinomial regression, softmax regression, multinomial logit, maximum entropy (MaxEnt) classifier, conditional maximum entropy model.

Source: http://en.wikipedia.org/wiki/Multinomial_logistic_regression

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P-value in nnet: multinom() . P-value Wald test extracted, but ¿how i extract it by LIkehood ratio?

I got a multinomial model, which goes like this: I got a bunch of observations (patients) that have 1 of 5 classes: Control, A_severe, A_low, B_severe, and B_low. So I tried to fit a multinom model with the package nnet, and I extracted the Wald…
Galpaccru
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mlogit package R: About Nested Logit

In nested logit models you can define regressors at each level of the tree. In all examples I've read in the manual and additional examples, the regressors are defined only for the last level. I'll use a commonly discussed example, the fishing…
user23438
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Multinomial logit model

I am going to use mlogit package. I run it like example but it still gives me an error and I don't know what to do about it. data72 = mlogit.data(data, choice ="Hour72motor", shape ="long", ,alt.levels="mode") simple = mlogit(Hour72motor ~…
Maryam Gh
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Correcting constraint mlogit stata

So I'm in a bit of a trouble. I need to put constraint on my data in state to run a mlogit, but it keeps stating that the equation have not been found. Can someone help?
Emma
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