Package: tramnet
Title: Penalized Transformation Models
Version: 0.0-8
Date: 2023-03-10
URL: http://ctm.R-forge.R-project.org
Authors@R: c(person("Lucas", "Kook", role = c("cre", "aut"),
                    email = "lucasheinrich.kook@gmail.com"),
             person("Balint", "Tamasi", role = "ctb"),
             person("Sandra", "Siegfried", role = "ctb"),
             person("Samuel", "Pawel", role = "ctb"),
             person("Torsten", "Hothorn", role = "ctb",
                    email = "Torsten.Hothorn@R-project.org", 
                    comment = c(ORCID = "0000-0001-8301-0471")))
Description: 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.
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
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-2
NeedsCompilation: no
Packaged: 2023-03-10 17:16:47 UTC; stigler
Author: Lucas Kook [cre, aut],
  Balint Tamasi [ctb],
  Sandra Siegfried [ctb],
  Samuel Pawel [ctb],
  Torsten Hothorn [ctb] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-10 21:50:02 UTC
Built: R 4.6.0; ; 2025-10-07 03:17:02 UTC; windows
