Package: betaMC Title: Monte Carlo for Regression Effect Sizes Version: 1.3.4.9000 Authors@R: person(given = "Ivan Jacob Agaloos", family = "Pesigan", role = c("aut", "cre", "cph"), email = "r.jeksterslab@gmail.com", comment = c(ORCID = "0000-0003-4818-8420")) Description: 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 ) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 ) to generate confidence intervals effect sizes in regression. URL: https://github.com/jeksterslab/betaMC, https://jeksterslab.github.io/betaMC/ BugReports: https://github.com/jeksterslab/betaMC/issues License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) Depends: R (>= 3.5.0) Imports: stats Suggests: knitr, rmarkdown, testthat, MASS, mice, Amelia, betaDelta, betaSandwich, betaNB Config/roxygen2/version: 8.0.0.9000 Repository: https://jeksterslab.r-universe.dev Date/Publication: 2026-06-13 23:53:52 UTC RemoteUrl: https://github.com/jeksterslab/betaMC RemoteRef: HEAD RemoteSha: ad33403be0696cecde3e62f60d269922fc60d9ca NeedsCompilation: no Packaged: 2026-06-14 00:13:03 UTC; root Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] (ORCID: ) Maintainer: Ivan Jacob Agaloos Pesigan