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.
Package details |
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Author | Mathias Fuchs |
Maintainer | Mathias Fuchs <fuchs@ibe.med.uni-muenchen.de> |
License | GPL |
Version | 1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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