rknn: Random KNN Classification and Regression

Random knn classification and regression are implemented. Random knn based feature selection methods are also included. The approaches are mainly developed for high-dimensional data with small sample size.

Version: 1.2-1
Depends: R (≥ 2.14), gmp (≥ 0.5-5)
Suggests: Hmisc, Biobase, genefilter, golubEsets, chemometrics
Published: 2015-06-09
Author: Shengqiao Li
Maintainer: Shengqiao Li <lishengqiao at yahoo.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: rknn results


Reference manual: rknn.pdf
Package source: rknn_1.2-1.tar.gz
Windows binaries: r-devel: rknn_1.2-1.zip, r-release: rknn_1.2-1.zip, r-oldrel: rknn_1.2-1.zip
OS X binaries: r-release: rknn_1.2-1.tgz, r-oldrel: rknn_1.2-1.tgz
Old sources: rknn archive

Reverse dependencies:

Reverse suggests: mlr


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