tramnet: 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 here: Hothorn et al. (2019) <doi:10.1007/s11222-019-09870-4>, Horn et al. (2016) <doi:10.1007/s11222-019-09870-4>.

Version: 0.0-2
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,, survival, knitr, mlbench, colorspace, mvtnorm, glmnet, trtf, Matrix, lasso2, lattice, kableExtra, coin, tbm
Published: 2020-03-20
Author: Lucas Kook [cre], Balint Tamasi [aut], Sandra Siegfried [ctb], Samuel Pawel [ctb], Torsten Hothorn ORCID iD [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook at>
License: GPL-2
NeedsCompilation: no
CRAN checks: tramnet results


Reference manual: tramnet.pdf
Vignettes: tramnet
Package source: tramnet_0.0-2.tar.gz
Windows binaries: r-devel: not available, r-devel-gcc8: not available, r-release:, r-oldrel:
OS X binaries: r-release: tramnet_0.0-2.tgz, r-oldrel: tramnet_0.0-2.tgz


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