Nothing
#### compute all block sums in gram matrix
#### from their we could get the cost matrix
SumsBlock_Gaussian <- function(geno, delta){
nRow <- length(geno)
A <- .C("sumsBlock_Gaussian",
x_i= as.double(geno),
n= as.integer(nRow),
Sums= double(nRow*nRow),
delta= as.double(delta),
PACKAGE="KernSeg.light")
return(A)
}
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