SOFTWARE

(R and SAS packages/scripts)

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GLMM IN ANIMAL BREEDING

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

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

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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.

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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.

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STRUCTURAL EQUATION MODELS

R scripts for fitting mixed effects structural equation models.

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

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BAYESIAN GENE MAPPING

SAS scripts for implementing Bayesian gene mapping approaches.

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

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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.

 

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