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: 2026-08-06 14:14:22 UTC; zigzag
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>
Repository: CRAN
Date/Publication: 2026-08-20 15:52:04 UTC
