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 in Hothorn et al. (2019) <doi:10.1111/sjos.12291> and Bischl et al. (2016) <arxiv:1703.03373>, respectively.

Version:	0.0-3
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
Published:	2020-05-14
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
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	tramnet results

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