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betaMC: Monte Carlo for Regression Effect Sizes

Generates Monte Carlo confidence intervals for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm(). 'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect (Pesigan and Cheung, 2024 <doi:10.3758/s13428-023-02114-4>) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>) to generate confidence intervals effect sizes in regression.

Version:1.3.3
Depends:R (≥ 3.5.0)
Imports:stats
Suggests:knitr,rmarkdown,testthat,MASS,mice,Amelia
Published:2025-10-19
DOI:10.32614/CRAN.package.betaMC
Author:Ivan Jacob Agaloos PesiganORCID iD [aut, cre, cph]
Maintainer:Ivan Jacob Agaloos Pesigan <r.jeksterslab at gmail.com>
BugReports:https://github.com/jeksterslab/betaMC/issues
License:MIT + fileLICENSE
URL:https://github.com/jeksterslab/betaMC,https://jeksterslab.github.io/betaMC/
NeedsCompilation:no
Citation:betaMC citation info
Materials:NEWS
CRAN checks:betaMC results

Documentation:

Reference manual:betaMC.html ,betaMC.pdf

Downloads:

Package source: betaMC_1.3.3.tar.gz
Windows binaries: r-devel:betaMC_1.3.3.zip, r-release:betaMC_1.3.3.zip, r-oldrel:betaMC_1.3.3.zip
macOS binaries: r-release (arm64):betaMC_1.3.3.tgz, r-oldrel (arm64):betaMC_1.3.3.tgz, r-release (x86_64):betaMC_1.3.3.tgz, r-oldrel (x86_64):betaMC_1.3.3.tgz
Old sources: betaMC archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=betaMCto link to this page.


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