Package: kerntools 1.2.0

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'.
Authors:
kerntools_1.2.0.tar.gz
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kerntools.pdf |kerntools.html✨
kerntools/json (API)
NEWS
# Install 'kerntools' in R: |
install.packages('kerntools', repos = c('https://elies-ramon.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/elies-ramon/kerntools/issues
Pkgdown site:https://elies-ramon.github.io
Last updated 1 days agofrom:2a7f896a46. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 31 2025 |
R-4.5-win | OK | Mar 31 2025 |
R-4.5-mac | OK | Mar 31 2025 |
R-4.5-linux | OK | Mar 31 2025 |
R-4.4-win | OK | Mar 31 2025 |
R-4.4-mac | OK | Mar 31 2025 |
R-4.4-linux | OK | Mar 31 2025 |
R-4.3-win | OK | Mar 31 2025 |
R-4.3-mac | OK | Mar 31 2025 |
Exports:AccAcc_rndaggregate_impAitchisonBoots_CIBrayCurtiscenterKcenterXChi2cLinearcosNormcosnormXdesparsifyDiracdummy_datadummy_varestimate_gammaF1FrobeniusfrobNormheatKhistKIntersectJaccardKendallkPCAkPCA_arrowskPCA_impKTALaplaceLinearminmaxMKCnmseNormal_CIplotImpPrecProcrustesRBFRecRuzickasimKSpeSpectrumsvm_impTSSvonNeumann
Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandkernlablabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr
Kernel functions
Rendered fromKernel-functions.Rmd
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