{ "_id": "6aba634d99f7aa8c6aa41081", "Package": "rbcc", "Type": "Package", "Title": "Risk-Based Control Charts", "Version": "0.2.0", "Authors@R": "c(\nperson(given = \"Aamir\", family = \"Saghir\", role = \"aut\"),\nperson(given = c(\"Attila\", \"Imre\"), family = \"Katona\", role = \"aut\"),\nperson(given = c(\"Zsolt\", \"Tibor\"), family = \"Kosztyan\",\nemail = \"kosztyan.zsolt@gtk.uni-pannon.hu\",\nrole = c(\"aut\", \"cre\"))\n)", "Description": "Implements univariate and multivariate risk-based control\ncharts for statistical process control in the presence of\nmeasurement uncertainty. Available charts include Shewhart\nX-bar, R, and S charts, moving-average charts, exponentially\nweighted moving-average charts, cumulative-sum charts, and\nHotelling T-squared charts. Chart parameters can be optimized\nby minimizing the total cost of the four decision outcomes. The\nmethodology is described by Kosztyan and Katona (2016)\n, Kosztyan and Katona (2018)\n, Katona et al. (2023)\n, Saghir et al. (2025)\n, and Saghir et al. 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