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) <arXiv:1703.03373>, respectively.
| Version: |
0.0-6 |
| 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, lasso2, lattice, kableExtra, coin, tbm, DiceKriging |
| Published: |
2021-07-19 |
| Author: |
Lucas Kook [cre, aut],
Balint Tamasi [ctb],
Sandra Siegfried [ctb],
Samuel Pawel [ctb],
Torsten Hothorn 
[ctb] |
| Maintainer: |
Lucas Kook <lucasheinrich.kook at uzh.ch> |
| License: |
GPL-2 |
| URL: |
http://ctm.R-forge.R-project.org |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
tramnet results |