{ "_id": "6a1abfe31d7bb097a09d6713", "Package": "devianLM", "Type": "Package", "Title": "Detecting Extremal Values in a Normal Linear Model", "Version": "1.1.0", "Date": "2026-04-21", "Authors@R": "c(\nperson(\"Guillaume\", \"Sauliere\",\nrole = \"aut\",\nemail = \"guillaumesauliere@hotmail.com\",\ncomment = c(ORCID = \"0000-0001-8263-6456\")),\nperson(\"Geoffroy\", \"Berthelot\",\nrole = c(\"aut\", \"cre\"),\nemail = \"geoffroy.berthelot@insep.fr\",\ncomment = c(ORCID = \"0000-0003-4036-6114\")),\nperson(\"Jérôme\", \"Dedecker\",\nrole = \"aut\",\nemail = \"jerome.dedecker@u-paris.fr\",\ncomment = c(ORCID = \"0000-0002-8838-0356\")))", "Description": "Provides a method to detect values poorly explained by a\nGaussian linear model. The procedure is based on the maximum of\nthe absolute value of the studentized residuals, which is a\nparameter-free statistic. This approach generalizes several\nprocedures used to detect abnormal values during longitudinal\nmonitoring of biological markers. For methodological details,\nsee: Berthelot G., Saulière G., Dedecker J. (2025). \"DEViaN-LM\nAn R Package for Detecting Abnormal Values in the Gaussian\nLinear Model\". 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