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, 2023 <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: 1.3.2
Depends: R (≥ 3.5.0)
Imports: stats
Suggests: knitr, rmarkdown, testthat, MASS, mice, Amelia
Published: 2024-04-14
DOI: 10.32614/CRAN.package.betaMC
Author: Ivan Jacob Agaloos Pesigan ORCID iD [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: betaMC citation info
Materials: NEWS
CRAN checks: betaMC results


Reference manual: betaMC.pdf


Package source: betaMC_1.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): betaMC_1.3.2.tgz, r-oldrel (arm64): betaMC_1.3.2.tgz, r-release (x86_64): betaMC_1.3.2.tgz, r-oldrel (x86_64): betaMC_1.3.2.tgz
Old sources: betaMC archive


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