mclogit
Multinomial Logit Models, with or without Random Effects or Overdispersion
Provides estimators for multinomial logit models in their conditional logit and baseline logit variants, with or without random effects, with or without overdispersion. Random effects models are estimated using the PQL technique (based on a Laplace approximation) or the MQL technique (based on a Solomon-Cox approximation). Estimates should be treated with caution if the group sizes are small.
- Version0.9.6
- R versionunknown
- Needs compilation?No
- Last release10/27/2022
Documentation
Team
Martin Elff
MaintainerShow author details
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Last 30 days
This package has been downloaded 5,297 times in the last 30 days. A solid achievement! Enough downloads to get noticed at department meetings. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 190 times.
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Last 365 days
This package has been downloaded 50,810 times in the last 365 days. This work is reaching a lot of screens. A significant achievement indeed! The day with the most downloads was Sep 12, 2024 with 341 downloads.
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Dependencies
- Depends1 package
- Imports1 package
- Enhances1 package
- Suggests2 packages
- Reverse Imports3 packages
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