R: Bayesian Regularization for Feed-Forward Neural Networks

# Bayesian Regularization for Feed-Forward Neural Networks

## Documentation for package ‘brnn’ version 0.9.4

- 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