Package: ksNN 0.1.2

ksNN: K* Nearest Neighbors Algorithm

Prediction with k* nearest neighbor algorithm based on a publication by Anava and Levy (2016) <arxiv:1701.07266>.

Authors:Kei Nakagawa [aut, cre], Shingo Sashida [aut]

ksNN_0.1.2.tar.gz
ksNN_0.1.2.zip(r-4.7)ksNN_0.1.2.zip(r-4.6)ksNN_0.1.2.zip(r-4.5)
ksNN_0.1.2.tgz(r-4.6-x86_64)ksNN_0.1.2.tgz(r-4.6-arm64)ksNN_0.1.2.tgz(r-4.5-x86_64)ksNN_0.1.2.tgz(r-4.5-arm64)
ksNN_0.1.2.tar.gz(r-4.7-arm64)ksNN_0.1.2.tar.gz(r-4.7-x86_64)ksNN_0.1.2.tar.gz(r-4.6-arm64)ksNN_0.1.2.tar.gz(r-4.6-x86_64)
ksNN_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ksNN/json (API)

# Install 'ksNN' in R:
install.packages('ksNN', repos = c('https://keeeeei0315.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 6 scripts 180 downloads 2 exports 1 dependencies

Last updated from:3a4af5de0b. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK103
linux-devel-x86_64OK125
source / vignettesOK133
linux-release-arm64OK104
linux-release-x86_64OK104
macos-release-arm64OK104
macos-release-x86_64OK220
macos-oldrel-arm64OK72
macos-oldrel-x86_64OK215
windows-develOK114
windows-releaseOK172
windows-oldrelOK99
wasm-releaseOK93

Exports:ksNNrcpp_ksNN

Dependencies:Rcpp