BPS_postdraws_MvT: Compute the BPS posterior samples given a set of stacking...

In spBPS: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning

Compute the BPS posterior samples given a set of stacking weights

Description

Compute the BPS posterior samples given a set of stacking weights

Usage

BPS_postdraws_MvT(data, priors, coords, hyperpar, W, R, par)

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
W	matrix set of stacking weights
R	integer number of desired samples
par	if TRUE only \beta and \Sigma are sampled (\omega is omitted)

Value

matrix BPS posterior samples

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