{ "_id": "6a106b60acfb0bcc41caa499", "Package": "LUCIDus", "Type": "Package", "Title": "Latent Unknown Clustering Integrating Multi-View Data", "Version": "2.2.1", "Authors@R": "c(\nperson(given = \"Yinqi\", family = \"Zhao\",\nemail = \"yinqiz@usc.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-2413-732X\")),\nperson(given = \"David\", family = \"Conti\",\nemail = \"dconti@usc.med.edu\", role = \"ths\",\ncomment = c(ORCID = \"0000-0002-2941-7833\")),\nperson(given = \"Jesse\", family = \"Goodrich\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0001-6615-0472\")),\nperson(given = \"Cheng\", family = \"Peng\", role = \"ctb\")\n)", "Description": "An implementation of the LUCID model (Peng (2019)\n). LUCID conducts integrated\nclustering using exposures, omics data (and outcome as an\noption). An EM algorithm is implemented to estimate MLE of the\nLUCID model. 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