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
|
| 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 |
| Package source: | KernelKnn_1.1.6.tar.gz |
| Windows binaries: | r-devel: KernelKnn_1.1.6.zip, r-release: KernelKnn_1.1.6.zip, r-oldrel: KernelKnn_1.1.6.zip |
| macOS binaries: | r-release (arm64): KernelKnn_1.1.6.tgz, r-oldrel (arm64): KernelKnn_1.1.6.tgz, r-release (x86_64): KernelKnn_1.1.6.tgz, r-oldrel (x86_64): KernelKnn_1.1.6.tgz |
| Old sources: | KernelKnn archive |
| Reverse depends: | elmNNRcpp |
| Reverse imports: | demuxSNP, nmslibR, RaSEn, scMultiSim |
| Reverse suggests: | SuperLearner |
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