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) . 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).


Reference manual

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0.0.2 by Balint Tamasi, 3 months ago

Browse source code at

Authors: Balint Tamasi [aut, cre] , Torsten Hothorn [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports alabama, lme4, Matrix, methods, nlme, TMB, stats, variables, basefun

Depends on tram, mlt

Suggests multcomp, parallel, survival, knitr, coxme, ordinal, ordinalCont, ggplot2

Linking to TMB, RcppEigen

See at CRAN