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 and Hothorn, 2021, <doi:10.32614/RJ-2021-075>). Penalized smooth shift terms can be defined using 'mgcv'.

Version: 1.0.2
Depends: R (≥ 3.6.0), tram (≥ 0.3.2), mlt (≥ 1.1.0)
Imports: alabama, lme4 (≥ 1.1.19), Matrix, methods, mgcv (≥ 1.8.34), nlme, TMB (≥ 1.7.15), stats, variables (≥ 1.0.2), basefun (≥ 1.0.6), numDeriv, MASS, coneproj
LinkingTo: TMB, RcppEigen
Suggests: multcomp, parallel, survival, knitr, coxme, ordinal, ordinalCont, gamm4, gamlss.dist, glmmTMB, xtable
Published: 2022-07-05
Author: Balint Tamasi ORCID iD [aut, cre], Torsten Hothorn ORCID iD [ctb]
Maintainer: Balint Tamasi <balint.tamasi at uzh.ch>
License: GPL-2
URL: http://ctm.R-forge.R-project.org
NeedsCompilation: yes
Citation: tramME citation info
Materials: NEWS
CRAN checks: tramME results

Documentation:

Reference manual: tramME.pdf
Vignettes: Examples in statistical ecology
R Journal 2021

Downloads:

Package source: tramME_1.0.2.tar.gz
Windows binaries: r-devel: tramME_1.0.2.zip, r-release: tramME_1.0.1.zip, r-oldrel: tramME_1.0.1.zip
macOS binaries: r-release (arm64): tramME_1.0.2.tgz, r-oldrel (arm64): tramME_1.0.2.tgz, r-release (x86_64): tramME_1.0.1.tgz, r-oldrel (x86_64): tramME_1.0.1.tgz
Old sources: tramME archive

Linking:

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