d_pred_cpp {spBPS}R Documentation

Evaluate the density of a set of unobserved response with respect to the conditional posterior predictive

Description

Evaluate the density of a set of unobserved response with respect to the conditional posterior predictive

Usage

d_pred_cpp(data, X_u, Y_u, d_u, d_us, hyperpar, poster)

Arguments

data

list two elements: first named Y, second named X

X_u

matrix unobserved instances covariate matrix

Y_u

matrix unobserved instances response matrix

d_u

matrix unobserved instances distance matrix

d_us

matrix cross-distance between unobserved and observed instances matrix

hyperpar

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

poster

list output from fit_cpp function

Value

vector posterior predictive density evaluations


[Package spBPS version 0.0-4 Index]