Description Usage Arguments Details Value Author(s) References See Also
Get the vector of the scale hyperparameter.
1 2 |
get.scale.bayesH(nu0, R2 = 0.5, X, y, type = "bayesH")
|
nu0 |
the vector with shape parameter(s) of (hyper) prior distribution for variance of each the regression coefficient(s) and error variance. |
R2 |
the expected proportion of the variance of the response variable that can be explained by the model (r squared). |
y |
the vector of response variable of the model. |
X |
the incidence matrix. |
type |
it is a string which if were defined as “ridge” the function performs Bayesian ridge regression, otherwise, Bayes H model. |
The user must be provided the vector nu0
and all elements this vector
must be greater than zero. The strategy adopted here is based on Perez et. al.
(2010).
An object of class vector
with values of the scale parameters.
Renato Rodrigues Silva, renato.rrsilva@ufg.br
Perez. et. al. (2010). Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R. Plant Genome. 2010; 3(2): 106-116. doi: 10.3835/plantgenome2010.04.0005.
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