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: | 0.0.3 |
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: | 2020-07-31 |
Author: | Balint Tamasi |
Maintainer: | Balint Tamasi <balint.tamasi at uzh.ch> |
License: | GPL-2 |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | tramME results |
Reference manual: | tramME.pdf |
Vignettes: |
tramME |
Package source: | tramME_0.0.3.tar.gz |
Windows binaries: | r-devel: tramME_0.0.3.zip, r-release: tramME_0.0.3.zip, r-oldrel: tramME_0.0.3.zip |
macOS binaries: | r-release: tramME_0.0.3.tgz, r-oldrel: tramME_0.0.3.tgz |
Old sources: | tramME archive |
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