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 tools:::Rd_expr_doi("10.3758/s13428-023-02114-4")) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 tools:::Rd_expr_doi("10.1007/s11336-017-9563-z")) to generate confidence intervals effect sizes in regression.
Maintainer: Ivan Jacob Agaloos Pesigan r.jeksterslab@gmail.com (ORCID) [copyright holder]
Useful links: