{ "_id": "6ad2988490c8bbdf41a50a28", "Package": "qountstat", "Type": "Package", "Title": "Statistical Analysis of Count Data and Quantal Data", "Version": "0.2.0", "Authors@R": "c(\nperson(\"Benjamin\", \"Daniels\", comment = c(ORCID = \"0000-0002-8344-6141\"), email = \"benjamin.daniels@rwth-aachen.de\", role = c(\"cre\", \"aut\"),),\nperson(\"Christian\", \"Dietrich\", role = \"aut\"),\nperson(\"Thomas\", \"Graeff\", role = \"aut\"),\nperson(\"Magnus\", \"Wang\", role = \"aut\"))", "Maintainer": "Benjamin Daniels ", "Description": "Methods for statistical analysis of count data and quantal\ndata. For the analysis of count data an implementation of the\nClosure Principle Computational Approach Test (\"CPCAT\") is\nprovided (Lehmann, R et al. (2016)\n), as well as an implementation\nof a \"Dunnett GLM\" approach using either a Quasi-Poisson, a\nnegative binomial or a Poisson regression (Hothorn, L, Kluxen,\nF (2020) ). For the analysis of\nquantal data an implementation of the Closure Principle\nFisher–Freeman–Halton test (\"CPFISH\") is provided (Lehmann, R\net al. (2018) ). P-values and\nno/lowest observed (adverse) effect concentration values are\ncalculated. All implemented methods include further functions\nto evaluate the power and the minimum detectable difference\nusing a bootstrapping approach. A model-agnostic,\nsimulation-calibrated diagnostic for overdispersion in grouped\ncount data is provided to support the choice between the\nimplemented methods.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-16 21:31:29 UTC", "User": "root" }, "Author": "Benjamin Daniels [cre, aut] (ORCID:\n), Christian Dietrich\n[aut], Thomas Graeff [aut], Magnus Wang [aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-10-16 16:20:02 UTC", "RemoteUrl": "https://github.com/cran/qountstat", "RemoteRef": "HEAD", "RemoteSha": "ddabfd399011796d8cc2aa03b0f7070ca81c0706", "_user": "cran", "_type": "src", "_file": "qountstat_0.2.0.tar.gz", "_fileid": "https://r2.ropensci.org/16b1918a15d7277ae875c30151e80ab514893d03b5dd0ccb3fa17d411a734a08", "_filesize": 199270, "_sha256": "16b1918a15d7277ae875c30151e80ab514893d03b5dd0ccb3fa17d411a734a08", "_expires": 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