Genomic-enabled prediction of ordinal data with bayesian logistic ordinal reg...

Most genomic-enabled prediction models developed so far assume that the response variable is continuous and normally distributed. The exception is the probit model developed for ordered categorical phenotypes. In statistical applications, due to the easy implementation of the Bayesian probit ordinal regression (BPOR) model, Bayesian logistic ordinal...