{ "_id": "6a10175cacfb0bcc41c84e57", "Package": "QRIpkg", "Title": "Quantile Regression Index Score", "Version": "0.2.2", "Authors@R": "c(\nperson(given = \"Peter\",\nfamily = \"Kochunov\",\nrole = c(\"aut\"),\nemail = \"pkochunov@gmail.com\"),\nperson(given = \"Si\",\nfamily = \"Gao\",\nrole = c(\"aut\", \"cre\"),\nemail = \"sgao@som.umaryland.edu\"),\nperson(given = \"Meghann\",\nfamily = \"Ryan\",\nrole = c(\"aut\"),\nemail = \"mcryan@som.umaryland.edu\")\n)", "Description": "The QRI_func() function performs quantile regression\nanalysis using age and sex as predictors to calculate the\nQuantile Regression Index (QRI) score for each individual’s\nregional brain imaging metrics and then averages across the\nregional scores to generate an average tissue specific score\nfor each subject. 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