spPredict_BPS {spBPS}R Documentation

Perform prediction for BPS accelerated models - loop over prediction set

Description

Perform prediction for BPS accelerated models - loop over prediction set

Usage

spPredict_BPS(data, X_u, priors, coords, crd_u, hyperpar, W, R, J)

Arguments

data

list two elements: first named Y, second named X

X_u

matrix unobserved instances covariate matrix

priors

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

coords

matrix sample coordinates for X and Y

crd_u

matrix unboserved instances coordinates

hyperpar

list two elemets: first named \delta, second named \phi

W

matrix set of stacking weights

R

integer number of desired samples

J

integer number of desired partition of prediction set

Value

list BPS posterior predictive samples


[Package spBPS version 0.0-4 Index]