Package: mlstats
Title: Multilevel Descriptive Statistics and Data Preparation
Version: 0.1.1
Authors@R: 
    person("Felix", "Dietrich", , "mail@felix-dietrich.de", role = c("aut", "cre", "cph"))
Description: Provides tools for multilevel descriptive statistics and data preparation.
    Computes within-group and between-group correlations (via variance decomposition or
    two-level structural equation modeling), intraclass correlation coefficients (ICCs),
    and descriptive statistics for nested data (e.g., repeated measurements per person),
    supporting both frequentist (via 'lme4' or 'lavaan') and Bayesian (via 'brms')
    estimation. Results are formatted according to APA standards and can be exported as
    tables using 'gt' or 'tinytable'. Also includes functions for decomposing variables
    into within-group and between-group components for use in Random Effects
    Within-Between (REWB) models.
License: MIT + file LICENSE
URL: https://felixdidi.github.io/mlstats/,
        https://github.com/felixdidi/mlstats
BugReports: https://github.com/felixdidi/mlstats/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Suggests: brms, gt, knitr, lavaan, lmerTest, rmarkdown, testthat (>=
        3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
Imports: cli, dplyr, lme4, pillar, rlang, scales, stringr, tibble,
        tinytable, vctrs
NeedsCompilation: no
Packaged: 2026-07-15 12:44:36 UTC; felix
Author: Felix Dietrich [aut, cre, cph]
Maintainer: Felix Dietrich <mail@felix-dietrich.de>
Repository: CRAN
Date/Publication: 2026-07-15 13:20:02 UTC
Built: R 4.5.2; ; 2026-07-15 15:45:27 UTC; unix
