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 gmail.com>
BugReports: https://github.com/jeksterslab/betaMC/issues
License: MIT + file LICENSE
URL: https://github.com/jeksterslab/betaMC, https://jeksterslab.github.io/betaMC/
NeedsCompilation: no
Citation: betaMC citation info
Materials: NEWS
CRAN checks: betaMC results

Documentation:

Reference manual: betaMC.pdf

Downloads:

Package source: betaMC_1.0.0.tar.gz
Windows binaries: r-devel: betaMC_1.0.0.zip, r-release: betaMC_1.0.0.zip, r-oldrel: betaMC_1.0.0.zip
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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