vecchia_lincomb {GPvecchia} | R Documentation |
linear combination of predictions compute the distribution of a linear combination Hy
Description
linear combination of predictions compute the distribution of a linear combination Hy
Usage
vecchia_lincomb(H, U.obj, V.ord, cov.mat = FALSE)
Arguments
H |
sparse matrix with n.all columns specifying the linear combination |
U.obj |
U matrix is the full joint approximated cholesky matrix |
V.ord |
ordered V matrix from vecchia_prediction() or U2V() |
cov.mat |
logical TRUE or FALSE – should the entire covariance matrix be returned (only do if H has a small number of rows) |
Value
Variance of linear combination of predictions.
Examples
n=5; z=rnorm(n); locs=matrix(1:n,ncol=1); n.p=5
vecchia.approx = vecchia_specify(locs,m=3,locs.pred=locs+.5)
preds=vecchia_prediction(z,vecchia.approx,covparms=c(1,2,.5),nuggets=.2)
H=Matrix::sparseMatrix(i=rep(1,n.p),j=n+(1:n.p),x=1/n.p)
vecchia_lincomb(H,vecchia.approx,preds$V.ord,cov.mat=TRUE)
[Package GPvecchia version 0.1.7 Index]