{ "_id": "6a213fd8cd65a98ecbd2a163", "Package": "stressor", "Type": "Package", "Title": "Algorithms for Testing Models under Stress", "Version": "0.2.0", "Authors@R": "c(\nperson(\"Sam\", \"Haycock\", email = \"haycock.sam@outlook.com\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Brennan\", \"Bean\", email = \"brennan.bean@usu.edu\",\nrole = c(\"aut\")),\nperson(\"Utah State University\", role = c(\"cph\", \"fnd\")),\nperson(\"Thermo Fisher Scientific\", \"Inc.\", role = c(\"fnd\"))\n)", "Description": "Traditional model evaluation metrics fail to capture model\nperformance under less than ideal conditions. This package\nemploys techniques to evaluate models \"under-stress\". This\nincludes testing models' extrapolation ability, or testing\naccuracy on specific sub-samples of the overall model space.\nDetails describing stress-testing methods in this package are\nprovided in Haycock (2023) . The other\nprimary contribution of this package is provided to R users\naccess to the 'Python' library 'PyCaret' \nfor quick and easy access to auto-tuned machine learning\nmodels.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "SystemRequirements": "python(>=3.8.10)", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 09:00:46 UTC", "User": "root" }, "Author": "Sam Haycock [aut, cre], Brennan Bean [aut], Utah State\nUniversity [cph, fnd], Thermo Fisher Scientific Inc. 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