Multinomial Logit Models with Random Parameters
Bread for Sandwiches
Akaike's Information Criterion
Functions for Correlated Random Parameters
Get the Conditional Individual Coefficients
Gradient for Observations
Get Model Summaries for Use with "mtable"
Model Formula for Multinomial Logit Models
Estimate Multinomial Logit Models with Observed and Unobserved Individ...
Plot of the Distribution of the Conditional Expectation of Random Para...
vcov method for gmnl objects
Compute Willingness-to-pay
An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with random coefficients as presented by Sarrias and Daziano (2017) <doi:10.18637/jss.v079.i02>. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model.