yap: Yet Another Probabilistic Neural Network

Another implementation of probabilistic neural network in R based on Specht (1990) <doi:10.1016/0893-6080(90)90049-Q>. It is applicable to the pattern recognition with a N-level response, where N > 2.

Version: 0.1.1
Depends: R (≥ 3.6.0)
Imports: stats, randtoolbox, lhs, parallel, datasets
Published: 2020-10-25
Author: WenSui Liu
Maintainer: WenSui Liu <liuwensui at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/statcompute/yap
NeedsCompilation: no
CRAN checks: yap results

Documentation:

Reference manual: yap.pdf

Downloads:

Package source: yap_0.1.1.tar.gz
Windows binaries: r-devel: yap_0.1.1.zip, r-release: yap_0.1.1.zip, r-oldrel: yap_0.1.1.zip
macOS binaries: r-release (arm64): yap_0.1.1.tgz, r-release (x86_64): yap_0.1.1.tgz, r-oldrel: yap_0.1.1.tgz
Old sources: yap archive

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