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Fast, lightweight toolkit for data splitting. Data sets can be partitioned into disjoint groups (e.g. into training, validation, and test) or into (repeated) k-folds for subsequent cross-validation. Besides basic splits, the package supports stratified, grouped as well as blocked splitting. Furthermore, cross-validation folds for time series data can be created. See e.g. Hastie et al. (2001) <doi:10.1007/978-0-387-84858-7> for the basic background on data partitioning and cross-validation.
Package details |
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Author | Michael Mayer [aut, cre] |
Maintainer | Michael Mayer <mayermichael79@gmail.com> |
License | GPL (>= 2) |
Version | 1.0.1 |
URL | https://github.com/mayer79/splitTools |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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