Bayesian Regularization for Feed-Forward Neural Networks
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Documentation for package ‘brnn’ version 0.9.3
- DESCRIPTION file.
- Code demos. Use demo() to run them.
Help Pages
| brnn | brnn |
| brnn.default | brnn |
| brnn.formula | brnn |
| brnn_extended | brnn_extended |
| brnn_extended.default | brnn_extended |
| brnn_extended.formula | brnn_extended |
| brnn_ordinal | brnn_ordinal |
| brnn_ordinal.default | brnn_ordinal |
| brnn_ordinal.formula | brnn_ordinal |
| coef.brnn | brnn |
| coef.brnn_extended | brnn_extended |
| D | Genomic dominant relationship matrix for the Jersey dataset. |
| estimate.trace | estimate.trace |
| G | Genomic additive relationship matrix for the Jersey dataset. |
| GOrd | Genomic additive relationship matrix for the GLS dataset. |
| initnw | Initialize networks weights and biases |
| jacobian | Jacobian |
| normalize | normalize |
| partitions | Partitions for cross validation (CV) |
| pheno | Phenotypic information for Jersey |
| phenoOrd | Phenotypic information for GLS (ordinal trait) |
| predict.brnn | predict.brnn |
| predict.brnn_extended | predict.brnn_extended |
| predict.brnn_ordinal | predict.brnn_ordinal |
| print.brnn | brnn |
| print.brnn_extended | brnn_extended |
| print.brnn_ordinal | brnn_ordinal |
| summary.brnn | brnn |
| summary.brnn_extended | brnn_extended |
| summary.brnn_ordinal | brnn_ordinal |
| twoinput | 2 Inputs and 1 output. |
| un_normalize | un_normalize |