Monte Carlo for Regression Effect Sizes
Description
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, 2024 )
and the sampling covariance matrix of regression coefficients
(Dudgeon, 2017 )
to generate confidence intervals effect sizes in regression.