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An appropriate data transformation for a count\noutcome and regression coefficients are simultaneously\nestimated by maximising the exact discrete log-likelihood using\nthe computational framework provided in package 'mlt',\ntechnical details are given in Siegfried & Hothorn (2020)\n. The package also features joint\ncount transformation models with covariate-dependent\ncorrelations applied to a species community of three aquatic\nbirds .", "VignetteBuilder": "knitr", "URL": "http://ctm.R-forge.R-project.org", "Encoding": "UTF-8", "License": "GPL-2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-09 11:08:38 UTC", "User": "root" }, "Author": "Sandra Siegfried [aut, cre] (ORCID:\n), Luisa Barbanti [aut]\n(ORCID: ), Lukas Graz\n[aut] (ORCID: ), Torsten\nHothorn [aut] (ORCID: )", "Maintainer": "Sandra Siegfried ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-09 08:44:15 UTC", "RemoteUrl": "https://github.com/cran/cotram", "RemoteRef": "HEAD", "RemoteSha": "f7c94b8582e252d4221956f366a3a4ce82745a78", "MD5sum": "7a7f41dc0f4c02d4fbb374f581fd4e16", "_user": "cran", "_type": "src", "_file": "cotram_0.6-1.tar.gz", "_fileid": "053befeb57a0f29c4efc5c674a63f8499a601f6a27629d11d4d32c5cf8c8e302", "_filesize": 575773, "_sha256": 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