dens_kcv: Compute the KCV of the density evaluations for fixed values...

In spBPS: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning

Compute the KCV of the density evaluations for fixed values of the hyperparameters

Description

Compute the KCV of the density evaluations for fixed values of the hyperparameters

Usage

dens_kcv(data, priors, coords, hyperpar, 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
K	integer number of folds

Value

vector posterior predictive density evaluations

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