gmnl

Multinomial Logit Models with Random Parameters

CRAN Package

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.


Documentation


Team


Insights

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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108 downloadsMar 6, 2025
48 downloadsMar 7, 2025
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55 downloadsMar 10, 2025
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144 downloadsMar 21, 2025
100 downloadsMar 22, 2025
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43 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

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.

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