kknn: Weighted k-Nearest Neighbors

Weighted k-Nearest Neighbors for Classification, Regression and Clustering.

Version:	1.3.1
Depends:	R (≥ 2.10)
Imports:	igraph (≥ 1.0), Matrix, stats, graphics
Published:	2016-03-26
Author:	Klaus Schliep [aut, cre], Klaus Hechenbichler [aut], Antoine Lizee [ctb]
Maintainer:	Klaus Schliep <klaus.schliep at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/KlausVigo/kknn
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	kknn results

Documentation:

Reference manual:

kknn.pdf

Downloads:

Package source:	kknn_1.3.1.tar.gz
Windows binaries:	r-devel: kknn_1.3.1.zip, r-release: kknn_1.3.1.zip, r-oldrel: kknn_1.3.1.zip
macOS binaries:	r-release (arm64): kknn_1.3.1.tgz, r-oldrel (arm64): kknn_1.3.1.tgz, r-release (x86_64): kknn_1.3.1.tgz, r-oldrel (x86_64): kknn_1.3.1.tgz
Old sources:	kknn archive

Reverse dependencies:

Reverse depends:	EnsembleBase, mbclusterwise, MM2S
Reverse imports:	aRtsy, DaMiRseq, regressoR, rminer, RSDA, swfscMisc, traineR
Reverse suggests:	butcher, fscaret, GenericML, healthyR.ai, MachineShop, mlr, mlr3learners, mlr3pipelines, mlr3tuningspaces, mlrMBO, parsnip, sense, SSLR, stacks, utiml, workflowsets

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