This package's purpose is to provide guidance to a researcher who is about to perform a simulation study that involves drawing artificial training data and assessing the method's performance on testing data drawn from the same distribution. The main function simTestSize takes a training algorithm as argument and outputs an estimator for the optimal test set size, together with a confidence interval. The package is based on theory that states that the optimal test set size is determined by a function of the ratio of the variances of the conditional error rates to the average variance across test observations.
|Maintainer||Mathias Fuchs <[email protected]>|
|Package repository||View on GitHub|
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