Return the CV predictive density evaluations for all the model combinations

Return the CV predictive density evaluations for all the model combinations

Usage

models_dens_MvT(data, priors, coords, hyperpar, useKCV, K)

Arguments

data

list two elements: first named \(Y\), second named \(X\)

priors

list priors: named \(\mu_B\),\(V_r\),\(\Psi\),\(\nu\)

coords

matrix sample coordinates for X and Y

hyperpar

list two elemets: first named \(\alpha\), second named \(\phi\)

useKCV

if TRUE K-fold cross validation is used instead of LOOCV (no default)

K

integer number of folds

Value

matrix posterior predictive density evaluations (each columns represent a different model)