Package: stuart 0.10.2

stuart: Subtests Using Algorithmic Rummaging Techniques

Construct subtests from a pool of items by using ant-colony-optimization, genetic algorithms, brute force, or random sampling. Schultze (2017) <doi:10.17169/refubium-622>.

Authors:Martin Schultze [aut, cre], Johanna Schüller [ctb]

stuart_0.10.2.tar.gz
stuart_0.10.2.zip(r-4.5)stuart_0.10.2.zip(r-4.4)stuart_0.10.2.zip(r-4.3)
stuart_0.10.2.tgz(r-4.4-any)stuart_0.10.2.tgz(r-4.3-any)
stuart_0.10.2.tar.gz(r-4.5-noble)stuart_0.10.2.tar.gz(r-4.4-noble)
stuart_0.10.2.tgz(r-4.4-emscripten)stuart_0.10.2.tgz(r-4.3-emscripten)
stuart.pdf |stuart.html
stuart/json (API)

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

Peer review:

Datasets:
  • fairplayer - MTMM fairplayer Intervention Data
  • sia - Data from a German Meaning of Work Scale.
  • sups - Data from a scale for Supervisor Support

On CRAN:

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

1.72 score 1 stars 26 scripts 202 downloads 2 mentions 13 exports 0 dependencies

Last updated 1 years agofrom:d26db14d6c. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winNOTENov 01 2024
R-4.4-macNOTENov 01 2024
R-4.3-winNOTENov 01 2024
R-4.3-macNOTENov 01 2024

Exports:as.stuartFixedObjectivebruteforcecombinationscrossvalidateempiricalobjectivefixedobjectivegeneheuristicsholdoutkfoldmmasobjectivematricesrandomsamples

Dependencies: