brnn v0.8
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Bayesian Regularization for Feed-Forward Neural Networks
Bayesian regularization for feed-forward neural networks.
Functions in brnn
| Name | Description | |
| estimate.trace | estimate.trace | |
| GOrd | Genomic additive relationship matrix for the GLS dataset. | |
| brnn_ordinal | brnn_ordinal | |
| normalize | normalize | |
| phenoOrd | Phenotypic information for GLS (ordinal trait) | |
| predict.brnn_ordinal | predict.brnn_ordinal | |
| predict.brnn_extended | predict.brnn_extended | |
| twoinput | 2 Inputs and 1 output. | |
| un_normalize | un_normalize | |
| brnn | brnn | |
| partitions | Partitions for cross validation (CV) | |
| pheno | Phenotypic information for Jersey | |
| predict.brnn | predict.brnn | |
| G | Genomic additive relationship matrix for the Jersey dataset. | |
| D | Genomic dominant relationship matrix for the Jersey dataset. | |
| jacobian | Jacobian | |
| brnn_extended | brnn_extended | |
| initnw | Initialize networks weights and biases | |
| No Results! | ||
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Details
| Date | 2020-01-04 |
| LazyLoad | true |
| License | GPL-2 |
| NeedsCompilation | yes |
| Packaged | 2020-01-05 17:32:37 UTC; paulino |
| Repository | CRAN |
| Date/Publication | 2020-01-08 23:01:53 UTC |
| depends | Formula , R (>= 3.5.0) , truncnorm |
| Contributors | Paulino Rodriguez, Daniel Gianola |
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[](http://www.rdocumentation.org/packages/brnn)