Package: RSquaredMI 0.1.0
RSquaredMI: R-Squared with Multiply Imputed Data
Provides R-squared values and standardized regression coefficients for linear models applied to multiply imputed datasets as obtained by 'mice'. Confidence intervals, zero-order correlations, and alternative adjusted R-squared estimates are also available. The methods are described in Van Ginkel and Karch (2024) <doi:10.1111/bmsp.12344> and in Van Ginkel (2020) <doi:10.1007/s11336-020-09696-4>.
Authors:
RSquaredMI_0.1.0.tar.gz
RSquaredMI_0.1.0.zip(r-4.5)RSquaredMI_0.1.0.zip(r-4.4)RSquaredMI_0.1.0.zip(r-4.3)
RSquaredMI_0.1.0.tgz(r-4.4-any)RSquaredMI_0.1.0.tgz(r-4.3-any)
RSquaredMI_0.1.0.tar.gz(r-4.5-noble)RSquaredMI_0.1.0.tar.gz(r-4.4-noble)
RSquaredMI_0.1.0.tgz(r-4.4-emscripten)RSquaredMI_0.1.0.tgz(r-4.3-emscripten)
RSquaredMI.pdf |RSquaredMI.html✨
RSquaredMI/json (API)
# Install 'RSquaredMI' in R: |
install.packages('RSquaredMI', repos = c('https://karchjd.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/karchjd/rsquaredmi/issues
Last updated 2 months agofrom:815b6332fd. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:RsquareSP
Dependencies:altR2backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluegslhavenhmsiteratorsjomolatticelifecyclelm.betalme4magrittrMASSMatrixmatrixStatsmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithrxtable
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate R-squared with Standardized Predictors | RsquareSP |