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.
| Version: |
0.1.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
lme4 (≥ 1.1.34), Matrix (≥ 1.6-5), dplyr, stats |
| Suggests: |
brms, bayestestR, lmerTest (≥ 3.1-0), testthat (≥ 3.0.0) |
| Published: |
2026-08-20 |
| DOI: |
10.32614/CRAN.package.MLMES (may not be active yet) |
| Author: |
Yijun Cheng [aut, cre],
Elizabeth A. Sanders [aut],
Timothy R. Konold [aut],
Zhigang Zhang [aut],
Zixie Zheng [aut] |
| Maintainer: |
Yijun Cheng <chengxb at uw.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Citation: |
MLMES citation info |
| Materials: |
NEWS |
| CRAN checks: |
MLMES results |
Documentation:
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