kerntools: Kernel Functions and Tools for Machine Learning Applications

Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.

Version: 1.0.2
Depends: R (≥ 2.10)
Imports: dplyr, ggplot2, kernlab, methods, reshape2, stats, stringi
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2024-09-04
DOI: 10.32614/CRAN.package.kerntools
Author: Elies Ramon ORCID iD [aut, cre, cph]
Maintainer: Elies Ramon <eramon at everlyrusher.com>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: kerntools results

Documentation:

Reference manual: kerntools.pdf
Vignettes: kerntools: R tools for kernel methods (source, R code)

Downloads:

Package source: kerntools_1.0.2.tar.gz
Windows binaries: r-devel: kerntools_1.0.2.zip, r-release: kerntools_1.0.2.zip, r-oldrel: kerntools_1.0.2.zip
macOS binaries: r-release (arm64): kerntools_1.0.2.tgz, r-oldrel (arm64): kerntools_1.0.2.tgz, r-release (x86_64): kerntools_1.0.2.tgz, r-oldrel (x86_64): kerntools_1.0.2.tgz
Old sources: kerntools archive

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