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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