{
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  "Package": "tramnet",
  "Title": "Penalized Transformation Models",
  "Version": "0.1-0",
  "URL": "https://codeberg.org/LucasKook/tramnet",
  "BugReports": "https://codeberg.org/LucasKook/tramnet/issues",
  "Authors@R": "c(person(\"Lucas\", \"Kook\", role = c(\"cre\", \"aut\"),\nemail = \"lucasheinrich.kook@gmail.com\"),\nperson(\"Balint\", \"Tamasi\", role = \"ctb\"),\nperson(\"Sandra\", \"Siegfried\", role = \"ctb\"),\nperson(\"Samuel\", \"Pawel\", role = \"ctb\"),\nperson(\"Torsten\", \"Hothorn\", role = \"ctb\",\nemail = \"Torsten.Hothorn@R-project.org\",\ncomment = c(ORCID = \"0000-0001-8301-0471\")))",
  "Description": "Partially penalized versions of specific transformation\nmodels implemented in package 'mlt'. Available models include a\nfully parametric version of the Cox model, other parametric\nsurvival models (Weibull, etc.), normal and transformed-normal\n(Box-Cox type) linear models, and continuous outcome logistic\nregression. Models can be specified via a formula interface.\nHyperparameter tuning is facilitated through model-based\noptimization functionalities from package 'mlr3mbo'. The\naccompanying vignette describes the methodology used in\n'tramnet' in detail. Transformation models and model-based\noptimization are described in Hothorn et al. (2019)\n<doi:10.1111/sjos.12291> and Bischl et al. (2017)\n<doi:10.48550/arXiv.1703.03373>, respectively.",
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  "Repository": "https://lucaskook.r-universe.dev",
  "Date/Publication": "2026-10-16 13:43:23 UTC",
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  "Author": "Lucas Kook [cre, aut],\nBalint Tamasi [ctb],\nSandra Siegfried [ctb],\nSamuel Pawel [ctb],\nTorsten Hothorn [ctb] (ORCID: <https://orcid.org/0000-0001-8301-0471>)",
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  "_realowner": "lucaskook",
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      "date": "2020-03-20"
    },
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      "date": "2020-05-14"
    },
    {
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      "date": "2021-03-15"
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      "date": "2021-03-16"
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    "cvl_tramnet",
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    "Lehmannnet",
    "Lmnet",
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    "mbo_tramnet",
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    "prof_alpha",
    "prof_lambda",
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    "Survregnet",
    "tramnet"
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      "title": "coef method for class '\"tramnet\"'",
      "topics": [
        "coef.tramnet"
      ]
    },
    {
      "page": "coef.tramnet_Lm",
      "title": "coef method for class '\"tramnet_Lm\"'",
      "topics": [
        "coef.tramnet_Lm"
      ]
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    {
      "page": "Coxphnet",
      "title": "Regularised Transformation Models via Formulae",
      "topics": [
        "BoxCoxnet",
        "Colrnet",
        "Coxphnet",
        "Lehmannnet",
        "Lmnet",
        "Survregnet"
      ]
    },
    {
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      "title": "Cross validation for '\"tramnet\"' models",
      "topics": [
        "cvl_tramnet"
      ]
    },
    {
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      "title": "Elastic net objective function for model based optimization",
      "topics": [
        "elnet_obj"
      ]
    },
    {
      "page": "estfun.tramnet",
      "title": "estfun method for class '\"tramnet\"'",
      "topics": [
        "estfun.tramnet"
      ]
    },
    {
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      "title": "Lasso objective function for model based optimization",
      "topics": [
        "lasso_obj"
      ]
    },
    {
      "page": "logLik.tramnet",
      "title": "logLik method for class '\"tramnet\"'",
      "topics": [
        "logLik.tramnet"
      ]
    },
    {
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      "title": "Fit recommended regularized tram based on model based optimization output",
      "topics": [
        "mbo_recommended"
      ]
    },
    {
      "page": "mbo_tramnet",
      "title": "Model based optimization for regularized transformation models",
      "topics": [
        "mbo_tramnet"
      ]
    },
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      "title": "model.matrix method for class '\"tramnet\"'",
      "topics": [
        "model.matrix.tramnet"
      ]
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    {
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      "title": "Plot regularization paths for '\"prof_*\"' classes",
      "topics": [
        "plot_path"
      ]
    },
    {
      "page": "plot.tramnet",
      "title": "plot method for class '\"tramnet\"'",
      "topics": [
        "plot.tramnet"
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    },
    {
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      "title": "predict method for class '\"tramnet\"'",
      "topics": [
        "predict.tramnet"
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    },
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      "title": "print summary method for class '\"tramnet\"'",
      "topics": [
        "print.summary.tramnet"
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      "title": "print method for class '\"tramnet\"'",
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        "print.tramnet"
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