Computing prediction intervals of neural network models (e.g.backpropagation) at certain confidence level. It can take the output from models trained by other packages like 'nnet', 'neuralnet', 'RSNNS', etc.
| Version: | 1.2 |
| Imports: | stats, RSNNS |
| Suggests: | MASS, nnet, neuralnet |
| Published: | 2015-12-21 |
| Author: | Xichen Ding |
| Maintainer: | Xichen Ding <rockingdingo at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | nnetpredint results |
| Reference manual: | nnetpredint.pdf |
| Package source: | nnetpredint_1.2.tar.gz |
| Windows binaries: | r-devel: nnetpredint_1.2.zip, r-release: nnetpredint_1.2.zip, r-oldrel: nnetpredint_1.2.zip |
| macOS binaries: | r-release: nnetpredint_1.2.tgz, r-oldrel: nnetpredint_1.2.tgz |
Please use the canonical form https://CRAN.R-project.org/package=nnetpredint to link to this page.