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 |
fn_vw |
Internal function for the quantile classifier with variable-wise thetas |
galtonskew |
A function that compute the Galton's skewness |
init.theta |
Internal function for the quantile classifier |
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.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. |
quantilecl.vw |
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 |