summary.BayesH: Summary

Description Usage Arguments Details Author(s) References See Also

View source: R/BayesHMethods.R


Provides a summary for a fitted model using function.


## S3 method for class 'BayesH'
summary(object, ...)



An object of class BayesH.


Further arguments passed to or from other methods.


It is an adaptation of code written by Perez and De Los Campos (2014). The output of this function is print the mean of the posterior distribution of the error variance, the variance of reponse observed values (training population). When there are missing values, the correlation between the predicted values and observed values is printed as well.


Renato Rodrigues Silva


Gustavo de los Campos, Hugo Naya, Daniel Gianola, Jose Crossa, Andre's Legarra, Eduardo Manfredi, Kent Weigel and Jose Miguel Cotes. Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree, 2009. Genetics. doi: 10.1534/genetics.109.101501

See Also

BayesH documentation built on May 19, 2017, 6:35 a.m.
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