Transformation Models with Mixed Effects
Overview
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 the 'mgcv' notation. Additive mixed-effects transformation models are described in Tamasi (2025) doi:10.18637/jss.v114.i11.
- Update citations and manual with the JSS publication.
From NEWS.md in the release
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NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Balint Tamasi <balint.tamasi+tramME@gmail.com>’
Found the following (possibly) invalid file URIs:
URI: Balint.Tamasi@uzh.ch
From: inst/doc/mixed-effects-additive-models.pdf
URI: Torsten.Hothorn@R-project.org
From: inst/doc/mixed-effects-additive-models.pdf- NOTE11 OK, 2 NOTENow
- NOTE9 OK, 5 NOTE2026-03-10
Documentation
- Help pages
- 51
- Examples that run
- 100%38 run in a plain check
- Exported functions with examples
- 71%
- Documented parameters
- 98%
- Return-value docs
- 88%
- Help pages citing references
- 22%
Also includes 1 demo script (run with demo())
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Dependencies
Installing tramME adds 30 packages (14 with compiled code, 26 MB of source tarballs). Heaviest: TH.data 8.2 MB, tram 2.5 MB, nloptr 2.1 MB.
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Package metadata
- First published
- 2020-03-21
- Total releases
- 17 / 6 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.6.0
- Download size
- 4.8 MB
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It points to 10.18637/jss.v114.i11, 10.32614/rj-2021-075.
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