{ "_id": "6af85690f58eaab79920f698", "Package": "DIRMR", "Type": "Package", "Version": "0.5.0", "Date": "2024-11-22", "Title": "Distributed Imputation for Random Effects Models with Missing\nResponses", "Authors@R": "c(person(\"Guangbao\", \"Guo\", role = c(\"aut\", \"cre\"),\nemail = \"ggb11111111@163.com\",\ncomment = c(ORCID = \"0000-0002-4115-6218\")),\nperson(\"Yaping\", \"Li\", role = \"aut\"))", "Description": "By adding over-relaxation factor to PXEM (Parameter\nExpanded Expectation Maximization) method, the MOPXEM\n(Monotonically Overrelaxed Parameter Expanded Expectation\nMaximization) method is obtained. Compare it with the existing\nEM (Expectation-Maximization)-like methods. Then, distribute\nand process five methods and compare them, achieving good\nperformance in convergence speed and result quality.The\nphilosophy of the package is described in Guo G. 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