GOrd: Genomic additive relationship matrix for the GLS dataset.
In brnn: Bayesian Regularization for Feed-Forward Neural Networks
GOrd R Documentation
Genomic additive relationship matrix for the GLS dataset.
Description
Genomic relationship matrix for the GLS dataset.
The matrix was derived from 46347 markers for the 278 individuals.
The matrix was calculated as follows G=MM'/p, where
M is the matrix of markers centered and standarized and p is the
number of markers.
Source
International Maize and Wheat Improvement Center (CIMMYT), Mexico.
References
Montesinos-Lopez, O., A. Montesinos-Lopez, J. Crossa, J. Burgueno and K. Eskridge. 2015. "Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression". G3: Genes | Genomes | Genetics, 5, 2113-2126.
brnn documentation built on Nov. 10, 2023, 9:08 a.m.
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| GOrd | R Documentation |
Genomic additive relationship matrix for the GLS dataset.
Description
Genomic relationship matrix for the GLS dataset. The matrix was derived from 46347 markers for the 278 individuals. The matrix was calculated as follows G=MM'/p, where M is the matrix of markers centered and standarized and p is the number of markers.
Source
International Maize and Wheat Improvement Center (CIMMYT), Mexico.
References
Montesinos-Lopez, O., A. Montesinos-Lopez, J. Crossa, J. Burgueno and K. Eskridge. 2015. "Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression". G3: Genes | Genomes | Genetics, 5, 2113-2126.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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