# Summary

### Description

Provides a summary for a fitted model using bayesModel.fit function.

### Usage

1 2 |

### Arguments

`object` |
An object of class |

`...` |
Further arguments passed to or from other methods. |

### Details

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.

### Author(s)

Renato Rodrigues Silva

### References

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

`bayesModel.fit`

.