has_specified_input has_specified_output data transformation model parameter estimation model parameter estimate normal distribution breeding value estimation genomic estimated breeding value Bayes R Philippe Rocca-Serra Erbe M, Hayes BJ, Matukumalli LK, Goswami S, Bowman PJ, Reich CM, et al. Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. J Dairy Sci. 2012;95:4114–29 doi: 10.3168/jds.2011-5019. https://www.ncbi.nlm.nih.gov/pubmed/22720968 Bayes R is a data transformation used in the context of estimating breeding value, which relies on a Bayesian model to compute 'genomic estimated breeding values'. In contrast to Bayes B methods, the new method assumes that the true SNP effects are derived from a series of normal distributions, the first with zero variance, up to one with a variance of approximately 1% of the genetic variance. p-value ready for release