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>).
| Version: |
0.3.2 |
| 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 (≥ 1.8.144), stringr (≥ 1.4.0), tidyselect (≥ 1.0.0) |
| Suggests: |
testthat, Matrix |
| Published: |
2022-07-06 |
| 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 |
Documentation:
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