R-Squared Measures for Multilevel Models R package r2mlm version 0.3.8 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>. Software 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 Mairead Shaw <mairead.shaw@mail.mcgill.ca> Comprehensive R Archive Network (CRAN) Mairead Shaw [aut, cre], Jason Rights [aut], Sonya Sterba [aut], Jessica Flake [aut] GPL-3 2025-04-20 application/tgz https://CRAN.R-project.org/package=r2mlm doi:10.32614/CRAN.package.r2mlm