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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, 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.
Getting started
Browse package contents
Package details |
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| Author | Ivan Jacob Agaloos Pesigan [aut, cre, cph] (<https://orcid.org/0000-0003-4818-8420>) |
| Maintainer | Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.3.2 |
| URL | https://github.com/jeksterslab/betaMC https://jeksterslab.github.io/betaMC/ |
| Package repository | View on CRAN |
| Installation |
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