{ "_id": "6aafa23b3d719c1f8408000c", "Package": "MLMES", "Type": "Package", "Title": "Model-Based Effect Sizes for Multilevel Models", "Version": "0.1.2", "Authors@R": "c(\nperson(\"Yijun\", \"Cheng\", email = \"chengxb@uw.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Elizabeth A.\", \"Sanders\", role = \"aut\"),\nperson(\"Timothy R.\", \"Konold\", role = \"aut\"),\nperson(\"Zhigang\", \"Zhang\", role = \"aut\"),\nperson(\"Zixie\", \"Zheng\", role = \"aut\")\n)", "Description": "Computes model-based effect sizes for fixed-effect\ncoefficients in multilevel (hierarchical) models. The\ncoefficient effect sizes are standardized mean differences from\nzero (d) and unique variance-explained measures (squared\nsemi-partial correlations, sr2). The package also reports\nvariance components and level-specific and total R-squared\nvalues. It supports 2-level and 3-level linear and binary\nlogistic models fitted with 'lme4' (Bates et al., 2015)\n, and 2-level Gaussian and Bernoulli\nmodels fitted with 'brms' (Bürkner, 2017)\n. Sanders, Konold, and Cheng (in\npress), \"Model-based effect sizes for multilevel linear\nregression coefficients,\" Methodology: European Journal of\nResearch Methods for the Behavioral and Social Sciences,\ndescribe the 2-level linear-model methods.", "License": "GPL-3", "Encoding": "UTF-8", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Config/roxygen2/version": "8.0.0", "Packaged": { "Date": "2026-09-20 09:03:01 UTC", "User": "root" }, "Author": "Yijun Cheng [aut, cre], Elizabeth A. 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