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r2mlm
View on CRAN: Click
here
Download and install r2mlm package within the R console
Install from CRAN:
install.packages("r2mlm")
Install from Github:
library("remotes")
install_github("cran/r2mlm")
Install by package version:
library("remotes")
install_version("r2mlm", "0.3.7")
Attach the package and use:
library("r2mlm")
Maintained by
Mairead Shaw
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-25
Latest Update: 2023-07-20
Description:
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>.
How to cite:
Mairead Shaw (2020). r2mlm: R-Squared Measures for Multilevel Models. R package version 0.3.7, https://cran.r-project.org/web/packages/r2mlm
Previous versions and publish date:
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Functions, R codes and Examples using
the r2mlm R package
Some associated functions: r2mlm . r2mlm3_manual . r2mlm_ci . r2mlm_comp . r2mlm_comp_manual . r2mlm_long_manual . r2mlm_manual . teachsat .
Some associated R codes: data.R . prepare_data.R . r2mlm.R . r2mlm3_manual.R . r2mlm_ci.R . r2mlm_comp.R . r2mlm_comp_manual.R . r2mlm_internal.R . r2mlm_long_manual.R . r2mlm_manual.R . utils.R . Full r2mlm package functions and examples
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