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
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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 |
Reference manual: | betaMC.pdf |
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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