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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>.
Version: | 0.1.1 |
Imports: | altR2 (≥ 1.1.0), lm.beta, matrixStats, stats, mice |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-09-19 |
DOI: | 10.32614/CRAN.package.RSquaredMI |
Author: | Julian D. Karch [aut, cph], Joost van Ginkel [aut, cre, cph] |
Maintainer: | Joost van Ginkel <jginkel at fsw.leidenuniv.nl> |
BugReports: | https://github.com/karchjd/RsquaredMI/issues |
License: | AGPL (≥ 3) |
URL: | https://github.com/karchjd/RsquaredMI |
NeedsCompilation: | no |
CRAN checks: | RSquaredMI results |
Reference manual: | RSquaredMI.pdf |
Package source: | RSquaredMI_0.1.1.tar.gz |
Windows binaries: | r-devel: RSquaredMI_0.1.1.zip, r-release: RSquaredMI_0.1.1.zip, r-oldrel: RSquaredMI_0.1.1.zip |
macOS binaries: | r-release (arm64): RSquaredMI_0.1.1.tgz, r-oldrel (arm64): RSquaredMI_0.1.1.tgz, r-release (x86_64): RSquaredMI_0.1.1.tgz, r-oldrel (x86_64): RSquaredMI_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.