Changes in version 1.10.0:

    o   errorMap replaced by samplesMetricMap. The plot can now show either
	 error rate or accuracy.

Changes in version 1.8.0:

    o   Ordinary k-fold cross-validation option added.

    o   Absolute difference of group medians feature selection function
	 added.

Changes in version 1.4.0:

    o   Weighted voting mode that uses the distance from an observation to
	 the nearest crossover point of the class densities added.

    o   Bartlett Test selection function included.

    o   New class SelectResult. rankPlot and selectionPlot can additionally
	 work with lists of SelectResult objects. All feature selection
	 functions now return a SelectResult object or a list of them.

    o   priorSelection is a new selection function for using features
	 selected in a prior cross validation for a new dataset
	 classification.

    o   New weighted voting mode, where the weight is the distance of the x
	 value from the nearest crossover point of the two densities. Useful
	 for predictions with skewed features.

Changes in version 1.2.0:

    o   More classification flexibility, now with parameter tuning
	 integrated into the process.

    o   New performance evaluation functions, such as a ROC curve and a
	 performance plot.

    o   Some existing predictor functions are able to return class scores,
	 not just class labels.

Changes in version 1.0.0:

    o   First release of the package, which allows parallelised and
	 customised classification, with many convenient performance
	 evaluation functions.