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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'.

Version: 1.0.7
Depends: R (≥ 3.6.0), tram (≥ 0.3.2), mlt (≥ 1.1.0)
Imports: alabama, Matrix, methods, mgcv (≥ 1.8.34), nlme, TMB (≥ 1.7.15), stats, variables (≥ 1.0.2), basefun (≥ 1.0.6), numDeriv, MASS, coneproj, mvtnorm, reformulas
LinkingTo: TMB, RcppEigen
Suggests: lme4 (≥ 1.1.19), multcomp, parallel, survival, knitr, coxme, ordinal, ordinalCont, gamm4, gamlss.dist, glmmTMB, xtable
Published: 2024-11-29
DOI: 10.32614/CRAN.package.tramME
Author: Balint Tamasi ORCID iD [aut, cre], Torsten Hothorn ORCID iD [ctb]
Maintainer: Balint Tamasi <balint.tamasi+tramME at gmail.com>
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: R Journal 2021 (source, R code)
Examples in statistical ecology (source, R code)
Mixed-effects Additive Transformation Models with the R Package tramME (source)

Downloads:

Package source: tramME_1.0.7.tar.gz
Windows binaries: r-devel: tramME_1.0.7.zip, r-release: tramME_1.0.7.zip, r-oldrel: tramME_1.0.7.zip
macOS binaries: r-release (arm64): tramME_1.0.7.tgz, r-oldrel (arm64): tramME_1.0.7.tgz, r-release (x86_64): tramME_1.0.7.tgz, r-oldrel (x86_64): tramME_1.0.7.tgz
Old sources: tramME archive

Reverse dependencies:

Reverse suggests: tram

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tramME to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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