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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>.

Version: 0.2.0
Imports: altR2 (≥ 1.1.0), lm.beta, matrixStats, stats, mice
Suggests: testthat (≥ 3.0.0)
Published: 2024-12-05
DOI: 10.32614/CRAN.package.RSquaredMI
Author: Julian D. Karch ORCID iD [aut, cph, cre], Joost van Ginkel [aut, cph]
Maintainer: Julian D. Karch <j.d.karch at fsw.leidenuniv.nl>
BugReports: https://github.com/karchjd/RsquaredMI/issues
License: AGPL (≥ 3)
URL: https://github.com/karchjd/RsquaredMI
NeedsCompilation: no
Materials: NEWS
CRAN checks: RSquaredMI results

Documentation:

Reference manual: RSquaredMI.pdf

Downloads:

Package source: RSquaredMI_0.2.0.tar.gz
Windows binaries: r-devel: RSquaredMI_0.2.0.zip, r-release: RSquaredMI_0.2.0.zip, r-oldrel: RSquaredMI_0.2.0.zip
macOS binaries: r-release (arm64): RSquaredMI_0.2.0.tgz, r-oldrel (arm64): RSquaredMI_0.2.0.tgz, r-release (x86_64): RSquaredMI_0.2.0.tgz, r-oldrel (x86_64): RSquaredMI_0.2.0.tgz
Old sources: RSquaredMI archive

Linking:

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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.