{ "_id": "6adb336409e55c840020885a", "Package": "BAREB", "Type": "Package", "Title": "A Bayesian Repulsive Biclustering Model for Periodontal Data", "Version": "0.1.2", "Authors@R": "c( person(\"Yuliang\", \"Li\", email = \"yli193@jhu.edu\", role = c(\"aut\")),\nperson(\"Yanxun\", \"Xu\", email = \"yxu.jhu@gmail.com\", role = c(\"aut\")),\nperson(\"Dipankar\", \"Bandyopadhyay\", email = \"bandyopd@gmail.com\", role = c(\"aut\")),\nperson(\"John\", \"Burkardt\", email = \"burkardt@vt.edu\", role = c(\"ctb\")),\nperson(\"Qingyang\", \"Liu\", email = \"rh8liuqy@gmail.com\", role = c(\"aut\", \"cre\"))\n)", "Description": "Simultaneously clusters the Periodontal diseases (PD)\npatients and their tooth sites after taking the patient- and\nsite-level covariates into consideration. 'BAREB' uses the\ndeterminantal point process (DPP) prior to induce diversity\namong different biclusters to facilitate parsimony and\ninterpretability. 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