{ "_id": "6a23e736530b9bc726be9143", "Package": "tramME", "Title": "Transformation Models with Mixed Effects", "Version": "1.0.8", "Date": "2025-09-08", "Authors@R": "c(person(\"Balint\", \"Tamasi\", role = c(\"aut\", \"cre\"),\nemail = \"balint.tamasi+tramME@gmail.com\",\ncomment = c(ORCID = \"0000-0002-2629-7362\")),\nperson(\"Torsten\", \"Hothorn\", role = \"ctb\",\nemail = \"Torsten.Hothorn@R-project.org\",\ncomment = c(ORCID = \"0000-0001-8301-0471\")))", "Description": "Likelihood-based estimation of mixed-effects\ntransformation models using the Template Model Builder ('TMB',\nKristensen et al., 2016) . The\ntechnical details of transformation models are given in Hothorn\net al. (2018) . Likelihood\ncontributions of exact, randomly censored (left, right,\ninterval) and truncated observations are supported. The random\neffects are assumed to be normally distributed on the scale of\nthe transformation function, the marginal likelihood is\nevaluated using the Laplace approximation, and the gradients\nare calculated with automatic differentiation (Tamasi &\nHothorn, 2021) . Penalized smooth\nshift terms can be defined using the 'mgcv' notation. Additive\nmixed-effects transformation models are described in Tamasi\n(2025) .", "VignetteBuilder": "knitr", "License": "GPL-2", "URL": "http://ctm.R-forge.R-project.org", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-06 09:18:29 UTC", "User": "root" }, "Author": "Balint Tamasi [aut, cre] (ORCID:\n), Torsten Hothorn [ctb]\n(ORCID: )", "Maintainer": "Balint Tamasi ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-09-08 21:40:02 UTC", "RemoteUrl": "https://github.com/cran/tramME", "RemoteRef": "HEAD", "RemoteSha": "f11c5fbc1f26b69f2a135a1bca59d032aaa6a47f", "MD5sum": "c6c21d536c11a0c74b200b3ae7c9821f", "_user": "cran", "_type": "src", "_file": "tramME_1.0.8.tar.gz", "_fileid": "31f0621ff6fcaab5a19ab769919fd435ed3766ea338e10edfa3093911725ceb3", "_filesize": 5649302, "_sha256": "31f0621ff6fcaab5a19ab769919fd435ed3766ea338e10edfa3093911725ceb3", "_created": "2026-06-06T09:18:29.000Z", "_published": 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