Multinomial Logit Models with Random Parameters. 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 multinomi
[email protected] is safe to use (health: 45/100)
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/cran/gmnlFirst published · 2020-05-27 19:20:35
Last updated · 2020-05-27T16:00:11+00:00