| SPlit-package {SPlit} | R Documentation |
SPlit
Description
Split a dataset for training and testing
Details
The package SPlit provides the function SPlit() to optimally split a dataset for training and testing using the method of support points (Mak and Joseph, 2018). Support points is a model-independent method for finding optimal representative points of a distribution. SPlit() attempts to obtain a split in which the distribution of both the training and testing sets resemble the distribution of the dataset. The benefits of SPlit over existing data splitting procedures are detailed in Joseph and Vakayil (2021).
Author(s)
Akhil Vakayil, V. Roshan Joseph, Simon Mak
Maintainer: Akhil Vakayil <akhilv@gatech.edu>
References
Joseph, V. R., & Vakayil, A. (2021). SPlit: An Optimal Method for Data Splitting. Technometrics, 1-11. doi:10.1080/00401706.2021.1921037.
Mak, S., & Joseph, V. R. (2018). Support points. The Annals of Statistics, 46(6A), 2562-2592.