Installation
About
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
Citation | r2mlm citation info |
github.com/mkshaw/r2mlm | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 27 0% |
Last 7 days | 122 -25% |
Last 30 days | 592 -19% |
Last 90 days | 2.151 -20% |
Last 365 days | 13.504 -33% |