Bayesian Model Averaging for Multinomial Logit Models
Bayesian Model Averaging for Multinomial Logit Models
Multinomial Logit Estimation
Heating Dataset
Converting Multinomial Logit Data into Binary Logit Data
Internal Functions of mlogitBMA
Bayesian Model Averaging for Multinomial Logit Models
Specification Object of a Multinomial Logit Model
Summary and Plotting Functions
Summary for Results of a Multinomial Logit Estimation
Summary for a Specification Object
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.