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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.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cli, dplyr, lme4, pillar, rlang, scales, stringr, tibble, tinytable, vctrs |
| Suggests: | brms, gt, knitr, lavaan, lmerTest, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-07-11 |
| DOI: | 10.32614/CRAN.package.mlstats |
| Author: | Felix Dietrich [aut, cre, cph] |
| Maintainer: | Felix Dietrich <mail at felix-dietrich.de> |
| BugReports: | https://github.com/felixdidi/mlstats/issues |
| License: | MIT + file LICENSE |
| URL: | https://felixdidi.github.io/mlstats/, https://github.com/felixdidi/mlstats |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | mlstats results |
| Reference manual: | mlstats.html , mlstats.pdf |
| Vignettes: |
Statistical Details: Within- and Between-Group Correlation Methods (source, R code) Getting Started with mlstats (source, R code) Multilevel Descriptive Statistics (source, R code) REWB Models (source, R code) Publication-Ready Tables (source, R code) |
| Package source: | mlstats_0.1.0.tar.gz |
| Windows binaries: | r-devel: mlstats_0.1.0.zip, r-release: mlstats_0.1.0.zip, r-oldrel: mlstats_0.1.0.zip |
| macOS binaries: | r-release (arm64): mlstats_0.1.0.tgz, r-oldrel (arm64): mlstats_0.1.0.tgz, r-release (x86_64): mlstats_0.1.0.tgz, r-oldrel (x86_64): mlstats_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=mlstats to link to this page.
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.