tramME
Transformation Models with Mixed Effects
Likelihood-based estimation of mixed-effects transformation models using the Template Model Builder ('TMB', Kristensen et al., 2016) doi:10.18637/jss.v070.i05. The technical details of transformation models are given in Hothorn et al. (2018) doi:10.1111/sjos.12291. Likelihood contributions of exact, randomly censored (left, right, interval) and truncated observations are supported. The random effects are assumed to be normally distributed on the scale of the transformation function, the marginal likelihood is evaluated using the Laplace approximation, and the gradients are calculated with automatic differentiation (Tamasi & Hothorn, 2021) doi:10.32614/RJ-2021-075. Penalized smooth shift terms can be defined using 'mgcv'.
- Version1.0.6
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- tramME citation info
- Last release07/02/2024
Documentation
Team
Balint Tamasi
Torsten Hothorn
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Last 30 days
This package has been downloaded 751 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
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Last 365 days
This package has been downloaded 5,628 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Feb 20, 2025 with 68 downloads.
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- Depends2 packages
- Imports12 packages
- Suggests11 packages
- Linking To2 packages
- Reverse Suggests1 package