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jeksterslab
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.
Maintained by Ivan Jacob Agaloos Pesigan. Last updated 3 months ago.
confidence-intervalsmonte-carloregression-effect-sizesstandardized-regression-coefficients
1 stars 4.27 score 22 scriptsjeksterslab
betaNB:Bootstrap for Regression Effect Sizes
Generates nonparametric bootstrap confidence intervals (Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>) 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().
Maintained by Ivan Jacob Agaloos Pesigan. Last updated 3 months ago.
confidence-intervalsnonparametric-bootstrapregression-effect-sizesstandardized-regression-coefficients
1 stars 4.16 score 18 scripts