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UAHDataScienceSC: Learn Supervised Classification Methods Through Examples and Code

Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.

Version: 1.0.0
Depends: R (≥ 4.3.0)
Imports: cli (≥ 3.6.1)
Suggests: knitr, rmarkdown
Published: 2025-02-17
DOI: 10.32614/CRAN.package.UAHDataScienceSC
Author: Víctor Amador Padilla [aut], Juan Jose Cuadrado Gallego ORCID iD [ctb], Andriy Protsak Protsak [aut, cre], Universidad de Alcala [cph]
Maintainer: Andriy Protsak Protsak <andriy.protsak at edu.uah.es>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: UAHDataScienceSC results

Documentation:

Reference manual: UAHDataScienceSC.pdf
Vignettes: Basic Functionality of UAHDataScienceSC (source, R code)

Downloads:

Package source: UAHDataScienceSC_1.0.0.tar.gz
Windows binaries: r-devel: UAHDataScienceSC_1.0.0.zip, r-release: UAHDataScienceSC_1.0.0.zip, r-oldrel: UAHDataScienceSC_1.0.0.zip
macOS binaries: r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): UAHDataScienceSC_1.0.0.tgz, r-release (x86_64): UAHDataScienceSC_1.0.0.tgz, r-oldrel (x86_64): UAHDataScienceSC_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=UAHDataScienceSC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.