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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
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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_1.1.5.tar.gz |
Windows binaries: | r-devel: KernelKnn_1.1.5.zip, r-release: KernelKnn_1.1.5.zip, r-oldrel: KernelKnn_1.1.5.zip |
macOS binaries: | r-release (arm64): KernelKnn_1.1.5.tgz, r-oldrel (arm64): KernelKnn_1.1.5.tgz, r-release (x86_64): KernelKnn_1.1.5.tgz, r-oldrel (x86_64): KernelKnn_1.1.5.tgz |
Old sources: | KernelKnn archive |
Reverse depends: | elmNNRcpp |
Reverse imports: | demuxSNP, imbalance, nmslibR, RaSEn, scMultiSim |
Reverse suggests: | SuperLearner, superMICE |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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