Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Version: 1.1.5 Depends: R (≥ 2.10.0) Imports: Rcpp (≥ 0.12.5) LinkingTo: Rcpp, RcppArmadillo Suggests: testthat, covr, knitr, rmarkdown Published: 2023-01-06 DOI: 10.32614/CRAN.package.KernelKnn Author: Lampros Mouselimis [aut, cre], Matthew Parks [ctb] (Github: Github Contributor) Maintainer: Lampros Mouselimis <mouselimislampros at gmail.com> BugReports: https://github.com/mlampros/KernelKnn/issues License: MIT + file LICENSE URL: https://github.com/mlampros/KernelKnn NeedsCompilation: yes SystemRequirements: libarmadillo: apt-get install -y libarmadillo-dev (deb), libblas: apt-get install -y libblas-dev (deb), liblapack: apt-get install -y liblapack-dev (deb), libarpack++2: apt-get install -y libarpack++2-dev (deb), gfortran: apt-get install -y gfortran (deb) Citation: KernelKnn citation info Materials: README NEWS CRAN checks: KernelKnn results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=KernelKnn to link to this page.
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