Kernel Functions and Tools for Machine Learning Applications R package kerntools version 1.2.1 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'. Software Depends: R (>= 2.10) Imports: dplyr, ggplot2, kernlab, methods, reshape2, stats, stringi Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0) Elies Ramon <eramon@everlyrusher.com> Comprehensive R Archive Network (CRAN) Elies Ramon [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-7953-8115>) GPL (>= 3) 2026-01-28 application/tgz https://CRAN.R-project.org/package=kerntools doi:10.32614/CRAN.package.kerntools en-US