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mnlogit (version 1.2.6)

Multinomial Logit Model

Description

Time and memory efficient estimation of multinomial logit models using maximum likelihood method. Numerical optimization performed by Newton-Raphson method using an optimized, parallel C++ library to achieve fast computation of Hessian matrices. Motivated by large scale multiclass classification problems in econometrics and machine learning.

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Version

Install

install.packages('mnlogit')

Monthly Downloads

42

Version

1.2.6

License

GPL (>= 2)

Maintainer

Asad Hasan

Last Published

May 28th, 2019

Functions in mnlogit (1.2.6)

Hypothesis Testing

Hypothesis testing for multinomial logit models
Fish

Choice of Fishing Mode
mnlogit

Fast estimation of multinomial logit models