{ "_id": "6a11367facfb0bcc41ce4516", "Package": "tramnet", "Title": "Penalized Transformation Models", "Version": "0.1-1", "Date": "2025-10-07", "URL": "http://ctm.R-forge.R-project.org", "Authors@R": "c(person(\"Lucas\", \"Kook\", role = c(\"cre\", \"aut\"),\nemail = \"lucasheinrich.kook@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7546-7356\")),\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.), models for binary and ordered\ncategorical variables, normal and transformed-normal (Box-Cox\ntype) linear models, and continuous outcome logistic\nregression. Hyperparameter tuning is facilitated through\nmodel-based optimization functionalities from package\n'mlr3MBO'. The methodology is described in Kook et al. (2021)\n. Transformation models and\nmodel-based optimization are described in Hothorn et al. (2019)\n and Bischl et al. 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