tramME: Transformation Models with Mixed Effects

Likelihood-based estimation of mixed-effects transformation models using the Template Model Builder (TMB). The technical details of transformation models are given in Hothorn et al. (2018) <doi:10.1111/sjos.12291>. 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 (AD).

Version: 0.0.2
Depends: R (≥ 3.6.0), tram (≥ 0.3.2), mlt (≥ 1.1.0)
Imports: alabama, lme4 (≥ 1.1.19), Matrix, methods, nlme, TMB (≥ 1.7.15), stats, variables (≥ 1.0.2), basefun (≥ 1.0.6)
LinkingTo: TMB, RcppEigen
Suggests: multcomp, parallel, survival, knitr, coxme, ordinal, ordinalCont, ggplot2
Published: 2020-04-07
Author: Balint Tamasi [aut, cre], Torsten Hothorn ORCID iD [ctb]
Maintainer: Balint Tamasi <balint.tamasi at uzh.ch>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS
CRAN checks: tramME results

Downloads:

Reference manual: tramME.pdf
Vignettes: tramME
Package source: tramME_0.0.2.tar.gz
Windows binaries: r-devel: tramME_0.0.2.zip, r-release: tramME_0.0.2.zip, r-oldrel: tramME_0.0.2.zip
macOS binaries: r-release: tramME_0.0.2.tgz, r-oldrel: tramME_0.0.2.tgz
Old sources: tramME archive

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