https://yijunchenguw.r-universe.devRecent package updates in yijunchenguwR-universehttps://github.com/yijunchenguw.pnghttps://yijunchenguw.r-universe.devThu, 20 Aug 2026 15:52:04 GMTchengxb@uw.edu (Yijun Cheng)Computes model-based effect sizes for fixed-effect coefficients in multilevel (hierarchical) models. The coefficient effect sizes are standardized mean differences from zero (d) and unique variance-explained measures (squared semi-partial correlations, sr2). The package also reports variance components and level-specific and total R-squared values. It supports 2-level and 3-level linear and binary logistic models fitted with 'lme4' (Bates et al., 2015) <doi:10.18637/jss.v067.i01>, and 2-level Gaussian and Bernoulli models fitted with 'brms' (Bürkner, 2017) <doi:10.18637/jss.v080.i01>. Sanders, Konold, and Cheng (in press), "Model-based effect sizes for multilevel linear regression coefficients," Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, describe the 2-level linear-model methods.https://github.com/r-universe/yijunchenguw/actions/runs/35501052890Thu, 20 Aug 2026 15:52:04 GMTMLMES0.1.2successhttps://yijunchenguw.r-universe.devhttps://github.com/cran/MLMES