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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) <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
Author: Lucas Kook [cre, aut], Balint Tamasi [ctb], Sandra Siegfried [ctb], Samuel Pawel [ctb], Torsten Hothorn ORCID iD [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:

Reference manual: tramnet.pdf
Vignettes: tramnet

Downloads:

Package source: tramnet_0.0-8.tar.gz
Windows binaries: r-devel: tramnet_0.0-8.zip, r-release: tramnet_0.0-8.zip, r-oldrel: tramnet_0.0-8.zip
macOS binaries: r-release (arm64): tramnet_0.0-8.tgz, r-oldrel (arm64): tramnet_0.0-8.tgz, r-release (x86_64): tramnet_0.0-8.tgz, r-oldrel (x86_64): tramnet_0.0-8.tgz
Old sources: tramnet archive

Reverse dependencies:

Reverse suggests: tramvs

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tramnet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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