Package: SPlit 1.2

Akhil Vakayil

SPlit: Split a Dataset for Training and Testing

Procedure to optimally split a dataset for training and testing. 'SPlit' is based on the method of support points, which is independent of modeling methods. Please see Joseph and Vakayil (2021) <doi:10.1080/00401706.2021.1921037> for details. This work is supported by U.S. National Science Foundation grant DMREF-1921873.

Authors:Akhil Vakayil [aut, cre], Roshan Joseph [aut, ths], Simon Mak [aut]

SPlit_1.2.tar.gz
SPlit_1.2.tar.gz(r-4.5-noble)SPlit_1.2.tar.gz(r-4.4-noble)
SPlit_1.2.tgz(r-4.4-emscripten)SPlit_1.2.tgz(r-4.3-emscripten)
SPlit.pdf |SPlit.html
SPlit/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

1.15 score 1 stars 14 scripts 245 downloads 3 exports 2 dependencies

Last updated 3 years agofrom:a3c2bbc02f. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linux-x86_64NOTEDec 05 2024

Exports:SPlitsplitratiosubsample

Dependencies:RcppRcppArmadillo