Robust Confidence Intervals for Standardized Regression Coefficients
Estimate Standardized Regression Coefficients and the Corresponding Sa...
Estimate Standardized Regression Coefficients and the Corresponding Ro...
Estimate Standardized Regression Coefficients and the Corresponding Sa...
betaSandwich: Robust Confidence Intervals for Standardized Regression ...
Standardized Regression Slopes
Differences of Standardized Regression Slopes
Multiple Correlation Coefficients (R-Squared and Adjusted R-Squared)
Confidence Intervals for Standardized Regression Slopes
Confidence Intervals for Differences of Standardized Regression Slopes
Confidence Intervals for Multiple Correlation Coefficients (R-Squared ...
Estimate Differences of Standardized Slopes and the Corresponding Samp...
Print Method for an Object of Class betasandwich
Print Method for an Object of Class diffbetasandwich
Print Method for an Object of Class rsqbetasandwich
Estimate Multiple Correlation Coefficients (R-squared and adjusted R-s...
Summary Method for an Object of Class betasandwich
Summary Method for an Object of Class diffbetasandwich
Summary Method for an Object of Class rsqbetasandwich
Sampling Covariance Matrix of the Standardized Regression Slopes
Sampling Covariance Matrix of Differences of Standardized Regression S...
Sampling Covariance Matrix of Multiple Correlation Coefficients (R-Squ...
Generates robust confidence intervals for standardized regression coefficients using heteroskedasticity-consistent standard errors for models fitted by lm() as described in Dudgeon (2017) <doi:10.1007/s11336-017-9563-z>. The package can also be used to generate confidence intervals for R-squared, adjusted R-squared, and differences of standardized regression coefficients. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
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