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LearnSL: 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)
Published: 2023-09-19
DOI: 10.32614/CRAN.package.LearnSL
Author: Víctor Amador Padilla [aut, cre], Juan Jose Cuadrado Gallego ORCID iD [ctb], Universidad de Alcala [cph]
Maintainer: Víctor Amador Padilla <victor.amador at edu.uah.es>
BugReports: https://github.com/ComiSeng/LearnSL/issues
License: MIT + file LICENSE
URL: https://github.com/ComiSeng/LearnSL
NeedsCompilation: no
Materials: README NEWS
CRAN checks: LearnSL results

Documentation:

Reference manual: LearnSL.pdf

Downloads:

Package source: LearnSL_1.0.0.tar.gz
Windows binaries: r-devel: LearnSL_1.0.0.zip, r-release: LearnSL_1.0.0.zip, r-oldrel: LearnSL_1.0.0.zip
macOS binaries: r-release (arm64): LearnSL_1.0.0.tgz, r-oldrel (arm64): LearnSL_1.0.0.tgz, r-release (x86_64): LearnSL_1.0.0.tgz, r-oldrel (x86_64): LearnSL_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LearnSL 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.