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).


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("tramME")

0.0.3 by Balint Tamasi, 2 months ago


Browse source code at https://github.com/cran/tramME


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