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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 |
| 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 |
| Reference manual: | MLMES.html , MLMES.pdf |
| Package source: | MLMES_0.1.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: MLMES_0.1.2.zip, r-oldrel: MLMES_0.1.2.zip |
| macOS binaries: | r-release (arm64): MLMES_0.1.2.tgz, r-oldrel (arm64): MLMES_0.1.2.tgz, r-release (x86_64): MLMES_0.1.2.tgz, r-oldrel (x86_64): MLMES_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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