R-Squared Measures for Multilevel Models

Generates both total- and level-specific R-squared measures from Rights and Sterba’s (2019) framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a completely full 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) ).