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Another implementation of general regression neural network in R based on Specht (1991) <doi:10.1109/72.97934>. It is applicable to the functional approximation or the classification.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | datasets, stats, randtoolbox, lhs, MLmetrics, graphics, parallel |
| 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/yager |
| NeedsCompilation: | no |
| CRAN checks: | yager results |
| Reference manual: | yager.pdf |
| Package source: | yager_0.1.1.tar.gz |
| Windows binaries: | r-devel: yager_0.1.1.zip, r-release: yager_0.1.1.zip, r-oldrel: yager_0.1.1.zip |
| macOS binaries: | r-release (arm64): yager_0.1.1.tgz, r-oldrel (arm64): yager_0.1.1.tgz, r-release (x86_64): yager_0.1.1.tgz, r-oldrel (x86_64): yager_0.1.1.tgz |
| Old sources: | yager archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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