Package: MLMES
Type: Package
Title: Model-Based Effect Sizes for Multilevel Models
Version: 0.1.2
Authors@R: c(
    person("Yijun", "Cheng", email = "chengxb@uw.edu", role = c("aut", "cre")),
    person("Elizabeth A.", "Sanders", role = "aut"),
    person("Timothy R.", "Konold", role = "aut"),
    person("Zhigang", "Zhang", role = "aut"),
    person("Zixie", "Zheng", role = "aut")
    )
Description: 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.
License: GPL-3
Encoding: UTF-8
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)
Config/testthat/edition: 3
NeedsCompilation: no
Config/roxygen2/version: 8.0.0
Packaged: 2026-10-20 08:32:33 UTC; root
Author: Yijun Cheng [aut, cre], Elizabeth A. Sanders [aut], Timothy R.
        Konold [aut], Zhigang Zhang [aut], Zixie Zheng [aut]
Maintainer: Yijun Cheng <chengxb@uw.edu>
Config/pak/sysreqs: cmake make
Repository: https://yijunchenguw.r-universe.dev
Date/Publication: 2026-08-20 15:52:04 UTC
RemoteUrl: https://github.com/cran/MLMES
RemoteRef: HEAD
RemoteSha: 6503d9c7e67ee73653dca89dc32c888cc005dd3c