mnlogit (1.2.6)

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Multinomial Logit Model.

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.

Maintainer: Asad Hasan
Author(s): Asad Hasan, Wang Zhiyu, Alireza S. Mahani

License: GPL (>= 2)

Uses: Formula, lmtest, mlogit, VGAM, nnet
Reverse enhances: prediction, stargazer, texreg

Released about 1 year ago.

6 previous versions



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