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mnlogit

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.

Functions (3)

mnlogit

Multinomial Logit Model

v1.2.6
GPL (>= 2)
Authors
Asad Hasan, Wang Zhiyu, Alireza S. Mahani
Initial release
2019-5-26

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