rs</p>
<p>The prior density of marker effects defines whether the model will 
induce variable selection and shrinkage or shrinkage only. 
Also, the choice of prior will define the extent and type of shrinkage induced.
Ideally the choice of prior for the marker effect should reflect the genetic 
architecture of the trait, and will vary (perhaps a lot) across traits.</p>

<p>The following prior distributions are provided:</p>
<p>Bayes N: Assigning a Gaussian prior to marker effects implies that the posterior 