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.

Version:	1.3.2
Depends:	R (≥ 3.5.0)
Imports:	stats
Suggests:	knitr, rmarkdown, testthat, MASS, mice, Amelia
Published:	2024-04-14
Author:	Ivan Jacob Agaloos Pesigan [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_1.3.2.tar.gz
Windows binaries:	r-devel: betaMC_1.3.2.zip, r-release: betaMC_1.3.2.zip, r-oldrel: betaMC_1.3.2.zip
macOS binaries:	r-release (arm64): betaMC_1.3.2.tgz, r-oldrel (arm64): betaMC_1.3.2.tgz, r-release (x86_64): betaMC_1.3.2.tgz, r-oldrel (x86_64): betaMC_1.3.2.tgz
Old sources:	betaMC archive

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