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.), models for binary and ordered categorical variables, normal and transformed-normal (Box-Cox type) linear models, and continuous outcome logistic regression. Hyperparameter tuning is facilitated through model-based optimization functionalities from package 'mlrMBO'. 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. (2016) , respectively.


Reference manual

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0.0-6 by Lucas Kook, 6 months ago

Browse source code at

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, ParamHelpers, lhs, mlr, smoof, stats

Depends on tram, CVXR, mlrMBO

Suggests penalized,, survival, knitr, mlbench, colorspace, mvtnorm, glmnet, trtf, Matrix, lasso2, lattice, kableExtra, coin, tbm, DiceKriging

See at CRAN