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
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Last 30 days
This package has been downloaded 2,114 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 43 times.
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Last 365 days
This package has been downloaded 21,233 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Nov 05, 2024 with 201 downloads.
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Dependencies
- Depends2 packages
- Imports4 packages
- Suggests5 packages
- Reverse Suggests2 packages