SOFTWARE

(R and SAS packages/scripts)

GLMM IN ANIMAL BREEDING

R package for fitting generalized linear mixed models in animal breeding.

Journal of Animal Science 88: 497–504, 2010.

BAYESIAN REGULARIZED NEURAL NETS

R package for fitting Bayesian regularized neural networks with applications in animal breeding.

Journal of Animal Science 91: 3522-3531, 2013.

SPARSE NEURAL NETS IN ANIMAL BREEDING

R package for fitting sparse neural networks with application in
animal breeding.

Journal of Animal Science 96: 2016–2026, 2018.

STRUCTURAL EQUATION MODELS

R scripts for fitting mixed effects structural equation models.

Genome-Wide Association Studies and Genomic Prediction, Springer 2013.

BAYESIAN GENE MAPPING

SAS scripts for implementing Bayesian gene mapping approaches.

Genetic Analysis of Complex Traits with SAS. SAS Institute, 2004.

EMPIRICAL BAYES MIXED MODELS

SAS scripts for implementing empirical Bayesian analysis of mixed models in quantitative genetics.

Genetic Analysis of Complex Traits with SAS. SAS Institute, 2004.