gmnl
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 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.
- Version1.1-3.2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- gmnl citation info
- Last release05/27/2020
Documentation
Team
Mauricio Sarrias
Yves Croissant
Show author detailsRolesContributorRicardo Daziano
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages
- Imports4 packages
- Suggests5 packages
- Reverse Suggests2 packages