models_dens_MvT: Return the CV predictive density evaluations for all the...

In spBPS: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning

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_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)

spBPS documentation built on Oct. 25, 2024, 5:07 p.m.