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#' Computes estimate of covariance matrix by banding the Cholesky factor
#' @param X an n by p data matrix
#' @param bandwidth an integer less than n-1
#' @param centered TRUE/FALSE; is data matrix centered?
#' @return est estimated covariance matrix
banded.chol = function(X, bandwidth, centered=FALSE){
n = nrow(X)
p = ncol(X)
if(bandwidth > n-1){
stop("bandwidth larger than n-1; solution undefined")
}
if(bandwidth > p-1){
stop("bandwidth larger than p-1; consider smaller bandwidth")
}
if(!centered){
mx = apply(X, 2, mean)
x.c = X - tcrossprod(rep(1, n), mx)
} else{
x.c = X
}
R = BandCholcpp(x.c, bandwidth)$R
est = n^(-1)*crossprod(R)
return(list("est" = est))
}
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