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: | 1.1.6 |
| Depends: | R (≥ 2.10.0) |
| Imports: | Rcpp (≥ 0.12.5) |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | testthat,covr,knitr,rmarkdown |
| Published: | 2025-09-15 |
| DOI: | 10.32614/CRAN.package.KernelKnn |
| Author: | Lampros Mouselimis [aut, cre], Matthew Parks [ctb] (Github Contributor) |
| Maintainer: | Lampros Mouselimis <mouselimislampros at gmail.com> |
| BugReports: | https://github.com/mlampros/KernelKnn/issues |
| License: | MIT + fileLICENSE |
| 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 |