models_dens {spBPS}R Documentation

Return the CV predictive density evaluations for all the model combinations

Description

Return the CV predictive density evaluations for all the model combinations

Usage

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

Arguments

data

list two elements: first named Y, second named X

priors

list priors: named \mu_b,V_b,a,b

coords

matrix sample coordinates for X and Y

hyperpar

list two elemets: first named \delta, 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)


[Package spBPS version 0.0-4 Index]