Tools for Data Splitting

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) for the basic background on data partitioning and cross-validation.


Reference manual

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0.3.1 by Michael Mayer, a year ago

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Authors: Michael Mayer [aut, cre]

Documentation:   PDF Manual  

Task views: Machine Learning & Statistical Learning

GPL (>= 2) license

Imports stats

Suggests knitr, rmarkdown, testthat, ranger

See at CRAN