| ais | Australian Institute of Sport data |
| balanced.folds | Internal function used in the cross-validation of the quantile classifier |
| centroidcl | A function that performs the centroid classifier |
| galtonskew | A function that compute the Galton's skewness |
| kelleyskew | A function that compute the Kelley's skewness |
| mapClass | Internal function for the quantile classifier |
| misc | Misclassification error |
| permute.rows | Internal function used by the quantile classifier |
| plot.quantiled | Internal function for plotting the results of the quantile classifier |
| plot.quantileDA | Internal function for plotting the results of the quantile classifier |
| print.quantileDA | Internal function for printing the results of the quantile classifier |
| quantilecl | A function that applies the quantile classifier for a given set of quantile probabilities and selects the best quantile classifier in the training set. |
| quantilecldiff | A function to apply the quantile classifier that uses a different optimal quantile probability for each variable |
| quantileCV | A function to cross-validate the quantile classifier |
| skewness | A function that compute the conventional skewness measure |
| theta.cl | A function to perform the quantile classifier for a given quantile probability |