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 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) <doi:10.1080/00273171.2019.1660605>).
| Version: | 0.1.0 |
| Depends: | lme4 (≥ 1.1.23), nlme (≥ 3.1.14), R (≥ 3.2.0) |
| Imports: | dplyr (≥ 0.8.5), magrittr (≥ 1.5), rlang (≥ 0.4.6), stringr (≥ 1.4.0), tidyselect (≥ 1.0.0) |
| Suggests: | testthat, Matrix |
| Published: | 2020-09-25 |
| 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 |
| Materials: | README |
| CRAN checks: | r2mlm results |
| Reference manual: | r2mlm.pdf |
| Package source: | r2mlm_0.1.0.tar.gz |
| Windows binaries: | r-devel: r2mlm_0.1.0.zip, r-release: r2mlm_0.1.0.zip, r-oldrel: r2mlm_0.1.0.zip |
| macOS binaries: | r-release: r2mlm_0.1.0.tgz, r-oldrel: r2mlm_0.1.0.tgz |
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