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| mrt-package | Modern Regression Techniques: Datasets and miscellaneous |
| anscombe | Data created by Anscombe |
| anscombe.boot | Anscombe-Glynn (1983) test with bootstrap of z |
| ayers | Birth trauma data |
| b1 | b1 statistic for Skewness |
| b1se | b1se statistic for Standard error of skewness |
| b1se2 | b1se2 statistic for standard error of skewness |
| b2 | b2 statistic for Kurtosis |
| b2se | b2se statistic for Standard error of kurtosis |
| b2se2 | b1se2 statistic for standard error of kurtosis |
| chile | Chile length and Heat |
| company | Company efficiency |
| cp85 | Wages for males and females |
| crime | Crime in Sussex (UK) |
| exer | Getting Children to Exercise |
| g1 | g1 statistic for Skewness |
| g1se | g1se statistic for standard error of skewness |
| g1se2 | b1se2 statistic for standard error of skewness |
| g2 | g2 statistic for kurtosis |
| g2se | g2se statistic for standard error of kurtosis |
| g2se2 | g2se2 statistic for standard error of kurtosis |
| gg1 | G1 statistic for Skewness |
| gg1se | G1se statistic for standard error of skewness |
| gg1se2 | G1se2 statistic for standard error of skewness |
| gg2 | G2 statistic for kurtosis |
| gg2se | G2se statistic for standard error of kurtosis |
| gg2se2 | G2se2 statistic for standard error of kurtosis |
| glmexample | Made-up data to illustrate GLMs |
| juryrd | Calculating Reasonable Doubt |
| k_approx | Old approx to estimate standard error kurtosis |
| lordex | Illustrating Lord's Paradox |
| maleptsd | Male PTSD symptoms after childbirth |
| mediator | Simple mediator analysis and graph |
| memrec | Memory Recognition Data |
| mr | mr Internal function for moments |
| mrt | Modern Regression Techniques: Datasets and miscellaneous |
| ngfinder | Nominal group finder (Kelley & Wright, 2010, BRM) |
| semoment | SE moments |
| sk | Skewness and Kurtosis statistics, and test of normality |
| sktable | Skewness and Kurtosis Table |
| sk_approx | Old approx to estimate standard error skewness |
| vconf | Non-bootstrap Cramer's V intervals using non-central chi-square |
| wsci | Within subject confidence intervals |