An n by k by q array. Each element encodes the probability of the allele state conditional on the marker states. The names by which the markers are known. If names are provided, these will be used for matching. Positive entries are 'ridge' parameters or variance ratios in a Bayesian prior for the regression coefficients.
Larger values imply more shrinkage or a more concentrated prior for the regresion coefficients.
A matrix which indicates the values of regressor variables corresponding to the allele states. This is used to find the mode of the posterior. Once this is in hand, one can find the Laplace approximation to the marginal likelihood. In addition, some useful quantities are provided that help in estimating the marginal posterior over groups of models. Value A list with components to be used in constructing approximations to the marginal posterior.