getGCovar

Genetic co-variance matrix using MCMC samples.

Paulino Rodriguez

BGLR

Bayesian Generalized Linear Regression

Gustavo de los Campos

Paulino Perez Rodriguez

getGCovar function

<dl> <dt>X</dt>
<dd>(numeric) matrix of covariates.</dd> <dt>B</dt>
<dd>(numeric) matrix that contains samples for regression coefficients, 3D array, 
 	 with dim=c(nRow,p,traits), where nRow number of MCMC samples saved, p 
 	 is the number of predictors and traits is the number of traits.</dd></dl>

Arguments

Author

getGCovar — getGCovar

<dl>

 <dt>X</dt>
<dd>(numeric) matrix of covariates.</dd>

 <dt>B</dt>
<dd>(numeric) matrix that contains samples for regression coefficients, 3D array, 
 	 with dim=c(nRow,p,traits), where nRow number of MCMC samples saved, p 
 	 is the number of predictors and traits is the number of traits.</dd>

</dl>

getGCovar: getGCovar

Description

Usage

Value

Arguments

Author

References