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  "Title": "Transformation Models",
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  "Authors@R": "c(person(\"Torsten\", \"Hothorn\", role = c(\"aut\", \"cre\"),\nemail = \"Torsten.Hothorn@R-project.org\", comment = c(ORCID = \"0000-0001-8301-0471\")),\nperson(\"Luisa\", \"Barbanti\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-5352-5802\")),\nperson(\"Sandra\", \"Siegfried\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-7312-1001\")),\nperson(\"Lucas\", \"Kook\", role = c(\"aut\"),\nemail = \"lucasheinrich.kook@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7546-7356\")),\nperson(\"Susanne\", \"Dandl\", role = c(\"ctb\"),\ncomment = c(ORCID = \"0000-0003-4324-4163\")),\nperson(\"Brian\", \"Ripley\", role = \"ctb\"),\nperson(\"Bill\", \"Venables\", role = \"ctb\"),\nperson(c(\"Douglas\", \"M.\"), \"Bates\", role = \"ctb\"),\nperson(\"Nadja\", \"Klein\", role = \"ctb\"))",
  "Description": "Formula-based user-interfaces to specific transformation\nmodels implemented in package 'mlt'\n(<DOI:10.32614/CRAN.package.mlt>,\n<DOI:10.32614/CRAN.package.mlt.docreg>). Available models\ninclude Cox models, some parametric survival models (Weibull,\netc.), models for ordered categorical variables, normal and\nnon-normal (Box-Cox type) linear models, and continuous outcome\nlogistic regression (Lohse et al., 2017,\n<DOI:10.12688/f1000research.12934.1>). The underlying theory is\ndescribed in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An\nextension to transformation models for clustered data is\nprovided (Barbanti and Hothorn, 2022,\n<DOI:10.1093/biostatistics/kxac048>) and a tutorial explains\napplications in survival analysis (Siegfried et al., 2025,\n<DOI:10.48550/arXiv.2402.06428>). Multivariate conditional\ntransformation models (Klein et al, 2022,\n<DOI:10.1111/sjos.12501>) and shift-scale transformation models\n(Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>)\ncan be fitted as well. The package contains an implementation\nof a doubly robust score test, described in Kook et al. (2024,\n<DOI:10.1080/01621459.2024.2395588>).",
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