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splitTools  

Tools for Data Splitting
View on CRAN: Click here


Download and install splitTools package within the R console
Install from CRAN:
install.packages("splitTools")

Install from Github:
library("remotes")
install_github("cran/splitTools")

Install by package version:
library("remotes")
install_version("splitTools", "1.0.1")



Attach the package and use:
library("splitTools")
Maintained by
Michael Mayer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-23
Latest Update: 2023-06-06
Description:
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.
How to cite:
Michael Mayer (2020). splitTools: Tools for Data Splitting. R package version 1.0.1, https://cran.r-project.org/web/packages/splitTools. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:08), 0.1.0 (2020-01-23 17:00), 0.2.0 (2020-02-16 20:40), 0.2.1 (2020-04-18 17:30), 0.3.0 (2020-09-19 14:00), 0.3.1 (2020-10-13 08:00), 0.3.2 (2022-01-28 19:10), 0.3.3 (2023-03-23 19:50), 1.0.0 (2023-04-28 10:30)
Other packages that cited splitTools R package
View splitTools citation profile
Other R packages that splitTools depends, imports, suggests or enhances
Complete documentation for splitTools
Functions, R codes and Examples using the splitTools R package
Some associated functions: create_folds . create_timefolds . multi_strata . partition . 
Some associated R codes: create_folds.R . create_timefolds.R . multi_strata.R . partition.R .  Full splitTools package functions and examples
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