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: 0.0-8 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: 2023-03-10 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 Materials: NEWS CRAN checks: tramnet results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=tramnet to link to this page.
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