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 |
| Reference manual: | yap.pdf |
| 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-oldrel (arm64): yap_0.1.1.tgz, r-release (x86_64): yap_0.1.1.tgz, r-oldrel (x86_64): yap_0.1.1.tgz |
| Old sources: | yap archive |
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