cotram
Count Transformation Models
Count transformation models featuring parameters interpretable as discrete hazard ratios, odds ratios, reverse-time discrete hazard ratios, or transformed expectations. An appropriate data transformation for a count outcome and regression coefficients are simultaneously estimated by maximising the exact discrete log-likelihood using the computational framework provided in package 'mlt', technical details are given in Siegfried & Hothorn (2020) doi:10.1111/2041-210X.13383. The package also contains an experimental implementation of multivariate count transformation models with an application to multi-species distribution models doi:10.48550/arXiv.2201.13095.
- Version0.5-2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- cotram citation info
- Last release09/18/2024
Documentation
Team
Sandra Siegfried
MaintainerShow author detailsTorsten Hothorn
Show author detailsRolesAuthorLuisa Barbanti
Insights
Last 30 days
This package has been downloaded 774 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 19 times.
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Last 365 days
This package has been downloaded 4,971 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Feb 27, 2025 with 73 downloads.
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Dependencies
- Depends2 packages
- Imports6 packages
- Suggests7 packages
- Reverse Imports2 packages
- Reverse Suggests1 package