{ "_id": "6a1036a8acfb0bcc41c9a242", "Package": "lmmprobe", "Type": "Package", "Title": "Sparse High-Dimensional Linear Mixed Modeling with a Partitioned\nEmpirical Bayes ECM Algorithm", "Version": "0.1.0", "Date": "2026-02-27", "Authors@R": "c(person(given = \"Anja\",\nfamily = \"Zgodic\",\nrole = c(\"aut\", \"cre\"),\nemail = \"anja.zgodic@gmail.com\"),\nperson(given = \"Ray\",\nfamily = \"Bai\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0001-7150-7229\")),\nperson(given = \"Jiajia\",\nfamily = \"Zhang\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0001-8281-8532\")),\nperson(given = \"Alex\",\nfamily = \"McLain\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-5475-0670\")),\nperson(given = \"Peter\",\nfamily = \"Olejua\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-2478-0908\")))", "Description": "Implements a partitioned Empirical Bayes Expectation\nConditional Maximization (ECM) algorithm for sparse\nhigh-dimensional linear mixed modeling as described in 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