Monte Carlo for Regression Effect Sizes R package betaMC version 1.3.4 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. Software Depends: R (>= 3.5.0) Imports: stats Suggests: knitr, rmarkdown, testthat, MASS, mice, Amelia, betaDelta, betaSandwich, betaNB Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com> Comprehensive R Archive Network (CRAN) Ivan Jacob Agaloos Pesigan [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-4818-8420>) MIT + file LICENSE (https://CRAN.R-project.org/package=betaMC/LICENSE) 2026-06-11 application/tgz https://CRAN.R-project.org/package=betaMC doi:10.32614/CRAN.package.betaMC