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.
| Version: | 0.0-10 |
| Depends: | R (≥ 3.5.0),tram (≥ 0.3-2),CVXR (≥ 0.99-4),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 |
| Published: | 2025-11-18 |
| DOI: | 10.32614/CRAN.package.tramnet |
| Author: | Lucas Kook [cre, aut], Balint Tamasi [ctb], Sandra Siegfried [ctb], Samuel Pawel [ctb], Torsten Hothorn [ctb] |
| Maintainer: | Lucas Kook <lucasheinrich.kook at gmail.com> |
| License: | GPL-2 |
| URL: | http://ctm.R-forge.R-project.org |
| NeedsCompilation: | no |
| CRAN checks: | tramnet results |