r2mlm: R-Squared Measures for Multilevel Models
Generates both total- and level-specific R-squared measures from Rights and Sterba’s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a complete decomposition of variance. Additionally generates graphical representations of these R-squared measures to allow visualizing and interpreting all measures in the framework together as an integrated set. This framework subsumes 10 previously-developed R-squared measures for multilevel models as special cases of 5 measures from the framework, and it also includes several newly-developed measures. Measures in the framework can be used to compute R-squared differences when comparing multilevel models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>). Bootstrapped confidence intervals can also be calculated. To use the confidence interval functionality, download bootmlm from <https://github.com/marklhc/bootmlm>.
| Version: | 0.3.8 |
| Depends: | lme4 (≥ 1.1.23),nlme (≥ 3.1.14), R (≥ 3.2.0) |
| Imports: | dplyr (≥ 0.8.5),magrittr (≥ 1.5), methods (≥ 3.6.3),rlang (≥ 0.4.6),rockchalk (≥ 1.8.157),stringr (≥ 1.4.0),tidyselect (≥ 1.0.0) |
| Suggests: | bootmlm,testthat,Matrix |
| Published: | 2025-04-20 |
| DOI: | 10.32614/CRAN.package.r2mlm |
| Author: | Mairead Shaw [aut, cre], Jason Rights [aut], Sonya Sterba [aut], Jessica Flake [aut] |
| Maintainer: | Mairead Shaw <mairead.shaw at mail.mcgill.ca> |
| BugReports: | https://github.com/mkshaw/r2mlm/issues |
| License: | GPL-3 |
| URL: | https://github.com/mkshaw/r2mlm |
| NeedsCompilation: | no |
| Citation: | r2mlm citation info |
| Materials: | README,NEWS |
| CRAN checks: | r2mlm results |
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