Package: splitTools 1.0.2

splitTools: 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) <doi:10.1007/978-0-387-84858-7> for the basic background on data partitioning and cross-validation.

Authors:Michael Mayer [aut, cre]

splitTools_1.0.2.tar.gz
splitTools_1.0.2.zip(r-4.5)splitTools_1.0.2.zip(r-4.4)splitTools_1.0.2.zip(r-4.3)
splitTools_1.0.2.tgz(r-4.5-any)splitTools_1.0.2.tgz(r-4.4-any)splitTools_1.0.2.tgz(r-4.3-any)
splitTools_1.0.2.tar.gz(r-4.5-noble)splitTools_1.0.2.tar.gz(r-4.4-noble)
splitTools_1.0.2.tgz(r-4.4-emscripten)splitTools_1.0.2.tgz(r-4.3-emscripten)
splitTools.pdf |splitTools.html
splitTools/json (API)
NEWS

# Install 'splitTools' in R:
install.packages('splitTools', repos = c('https://mayer79.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mayer79/splittools/issues

Pkgdown site:https://mayer79.github.io

On CRAN:

Conda:

cross-validationmachine-learningtime-seriesvalidation

8.03 score 13 stars 4 packages 169 scripts 1.0k downloads 1 mentions 4 exports 0 dependencies

Last updated 22 days agofrom:34f8a8fcb6. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-winOKFeb 15 2025
R-4.5-macOKFeb 15 2025
R-4.5-linuxOKFeb 15 2025
R-4.4-winOKFeb 15 2025
R-4.4-macOKFeb 15 2025
R-4.3-winOKFeb 15 2025
R-4.3-macOKFeb 15 2025

Exports:create_foldscreate_timefoldsmulti_stratapartition

Dependencies:

Using 'splitTools'

Rendered fromsplitTools.Rmdusingknitr::rmarkdownon Feb 15 2025.

Last update: 2023-06-06
Started: 2020-02-17