MLMES
Model-Based Effect Sizes for Multilevel Models
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | MLMES_0.1.2.tar.gz |
511.2 KiB |
0.1.2 |
rolling linux/noble R-4.5 | MLMES_0.1.2.tar.gz |
511.0 KiB |
0.1.2 |
rolling source/ R- | MLMES_0.1.2.tar.gz |
299.5 KiB |
0.1.2 |
latest linux/jammy R-4.5 | MLMES_0.1.2.tar.gz |
511.2 KiB |
0.1.2 |
latest linux/noble R-4.5 | MLMES_0.1.2.tar.gz |
511.0 KiB |
0.1.2 |
latest source/ R- | MLMES_0.1.2.tar.gz |
299.5 KiB |
0.1.2 |
2026-04-23 source/ R- | MLMES_0.1.2.tar.gz |
0 B |