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  "Date": "2024-11-22",
  "Title": "Distributed Imputation for Random Effects Models with Missing\nResponses",
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  "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. (2022)\n<doi:10.1007/s00180-022-01270-z>.",
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  "Author": "Guangbao Guo [aut, cre]\n(<https://orcid.org/0000-0002-4115-6218>), Yaping Li [aut]",
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