mlogitBMA
R package mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models. Provides a modified function bic.glm of the BMA package that can be applied to multinomial logit (MNL) data. The data is converted to binary logit using the Begg & Gray approximation. The package also contains functions for maximum likelihood estimation of MNL.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
Sorted by year (- Asad Hasan, Wang Zhiyu, Alireza S. Mahani: Fast Estimation of Multinomial Logit Models: R Package mnlogit (2014) arXiv
- Henningsen, Arne; Toomet, Ott: maxLik: a package for maximum likelihood estimation in R (2011)