Monte Carlo for Regression Effect Sizes
betaMC: Monte Carlo for Regression Effect Sizes
Estimate Standardized Regression Coefficients and Generate the Corresp...
Estimated Parameter Method for an Object of Class betamc
Confidence Intervals Method for an Object of Class betamc
Estimate Improvement in R-Squared and Generate the Corresponding Sampl...
Estimate Differences of Standardized Slopes and Generate the Correspon...
Generate the Sampling Distribution of Regression Parameters Using the ...
Generate the Sampling Distribution of Regression Parameters Using the ...
Estimate Squared Partial Correlation Coefficients and Generate the Cor...
Print Method for an Object of Class betamc
Print Method for an Object of Class mc
Estimate Multiple Correlation Coefficients (R-Squared and Adjusted R-S...
Estimate Semipartial Correlation Coefficients and Generate the Corresp...
Summary Method for an Object of Class betamc
Summary Method for an Object of Class mc
Sampling Variance-Covariance Matrix Method for an Object of Class `bet...
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 <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.
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