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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 contains an\nexperimental implementation of multivariate count\ntransformation models with an application to multi-species\ndistribution models .", "VignetteBuilder": "knitr", "URL": "http://ctm.R-forge.R-project.org", "Encoding": "UTF-8", "License": "GPL-2", "Config/pak/sysreqs": "cmake", "Repository": "https://r-forge.r-universe.dev", "Date/Publication": "2026-05-22 09:46:49 UTC", "RemoteUrl": "https://github.com/r-forge/ctm", "RemoteRef": "HEAD", "RemoteSha": "6cd3bd0ce8570d012a6fdd3955b10c8140794b84", "RemoteSubdir": "pkg/cotram", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-21 10:47:18 UTC", "User": "root" }, "Author": "Sandra Siegfried [aut, cre] (ORCID:\n),\nLuisa Barbanti [aut] (ORCID: ),\nTorsten Hothorn [aut] (ORCID: )", "Maintainer": "Sandra Siegfried ", "MD5sum": "31195ead0e2b939658317ee9da3843aa", "_user": "r-forge", "_type": "src", "_file": "cotram_0.6-0.tar.gz", "_fileid": "ab796dc1e65d7c37abc26b64ec6da4da62c6f73b919d5c77932e5da67fe6704b", 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