Penalized Transformation Models

Partially penalized versions of specific transformation models implemented in package 'mlt'. Available models include a fully parametric version of the Cox model, other parametric survival models (Weibull, etc.), normal and transformed-normal (Box-Cox type) linear models, and continuous outcome logistic regression. Models can be specified via a formula interface. Hyperparameter tuning is facilitated through model-based optimization functionalities from package 'mlr3mbo'. The accompanying vignette describes the methodology used in 'tramnet' in detail. Transformation models and model-based optimization are described in Hothorn et al. (2019) and Bischl et al. (2017) , respectively.


Reference manual

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install.packages("tramnet")

0.1-0 by Lucas Kook, 4 days ago


https://codeberg.org/LucasKook/tramnet


Report a bug at https://codeberg.org/LucasKook/tramnet/issues


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


Authors: Lucas Kook [cre, aut] , Balint Tamasi [ctb] , Sandra Siegfried [ctb] , Samuel Pawel [ctb] , Torsten Hothorn [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports mlt, basefun, sandwich, lhs, stats, graphics, grDevices, mlr3mbo, mlr3, mlr3learners, bbotk, paradox, lgr

Depends on tram, CVXR

Suggests penalized, TH.data, survival, knitr, colorspace, mvtnorm, glmnet, trtf, Matrix, lattice, kableExtra, coin, tbm, DiceKriging, testthat


Suggested by tramvs.


See at CRAN