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.
| Version: | 1.0.1 |
| Imports: | stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2023-06-06 |
| DOI: | 10.32614/CRAN.package.splitTools |
| Author: | Michael Mayer [aut, cre] |
| Maintainer: | Michael Mayer <mayermichael79 at gmail.com> |
| BugReports: | https://github.com/mayer79/splitTools/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/mayer79/splitTools |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | MachineLearning |
| CRAN checks: | splitTools results |
| Reference manual: | splitTools.html , splitTools.pdf |
| Vignettes: |
Using 'splitTools' (source, R code) |
| Package source: | splitTools_1.0.1.tar.gz |
| Windows binaries: | r-devel: splitTools_1.0.1.zip, r-release: splitTools_1.0.1.zip, r-oldrel: splitTools_1.0.1.zip |
| macOS binaries: | r-release (arm64): splitTools_1.0.1.tgz, r-oldrel (arm64): splitTools_1.0.1.tgz, r-release (x86_64): splitTools_1.0.1.tgz, r-oldrel (x86_64): splitTools_1.0.1.tgz |
| Old sources: | splitTools archive |
| Reverse imports: | fusedTree, HMDA, mlexperiments, RAFS |
| Reverse suggests: | mllrnrs, mlsurvlrnrs |
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