Technical note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding.

@article{PrezRodrguez2013TechnicalNA,
  title={Technical note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding.},
  author={Paulino P{\'e}rez-Rodr{\'i}guez and Daniel Gianola and Kent A. Weigel and Guilherme J. M. Rosa and Jos{\'e} Crossa},
  journal={Journal of animal science},
  year={2013},
  volume={91 8},
  pages={3522-31}
}
In recent years, several statistical models have been developed for predicting genetic values for complex traits using information on dense molecular markers, pedigrees, or both. These models include, among others, the Bayesian regularized neural networks (BRNN) that have been widely used in prediction problems in other fields of application and, more recently, for genome-enabled prediction. The R package described here (brnn) implements BRNN models and extends these to include both additive… CONTINUE READING
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