Penalized Transformation Models R package tramnet version 0.0-991 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) <doi:10.1111/sjos.12291> and Bischl et al. (2016) <doi:10.48550/arXiv.1703.03373>, respectively. Software Depends: R (>= 3.5.0), tram (>= 1.4), CVXR (>= 1.8), mlrMBO (>= 1.1-2) Imports: mlt, basefun, sandwich, ParamHelpers, lhs, mlr, smoof, stats Suggests: penalized, TH.data, survival, knitr, mlbench, colorspace, mvtnorm, glmnet, trtf, Matrix, lattice, kableExtra, coin, tbm, DiceKriging Lucas Kook <lucasheinrich.kook@gmail.com> Comprehensive R Archive Network (CRAN) Lucas Kook [cre, aut], Balint Tamasi [ctb], Sandra Siegfried [ctb], Samuel Pawel [ctb], Torsten Hothorn [ctb] (ORCID: <https://orcid.org/0000-0001-8301-0471>) GPL-2 2026-03-10 application/tgz https://CRAN.R-project.org/package=tramnet doi:10.32614/CRAN.package.tramnet