betaMC: Monte Carlo Confidence Intervals for Standardized Regression Coefficients

Generates Monte Carlo confidence intervals for standardized regression coefficients for models fitted by lm(). 'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect (Preacher and Selig, 2012 <doi:10.1080/19312458.2012.679848>) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>) to generate confidence intervals for standardized regression coefficients.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: stats, methods
Suggests: knitr, rmarkdown, testthat
Published: 2023-01-09
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_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): betaMC_1.0.0.tgz, r-oldrel (arm64): betaMC_1.0.0.tgz, r-release (x86_64): betaMC_1.0.0.tgz, r-oldrel (x86_64): betaMC_1.0.0.tgz


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