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.
|Depends:||R (≥ 2.14), gmp (≥ 0.5-5)|
|Suggests:||Hmisc, Biobase, genefilter, golubEsets, chemometrics|
|Maintainer:||Shengqiao Li <lishengqiao at yahoo.com>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||rknn results|
|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 Mavericks binaries:||r-release: rknn_1.2-1.tgz, r-oldrel: rknn_1.2-1.tgz|
|Old sources:||rknn archive|
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