Nothing

```
#' Estimates a covariance matrix by banding the sample covariance matrix
#' @param X an n times p data matrix
#' @param bandwidth nonnegative integer; less than n-1
#' @param centered TRUE/FALSE is data matrix centered?
#' @return est the banded estimate
banded.sample = function(X, bandwidth, centered=FALSE){
n = nrow(X)
p = ncol(X)
if(!centered){
mx = apply(X, 2, mean)
x.c = X - tcrossprod(rep(1, n), mx)
} else{
x.c = X
}
S = n^(-1)*crossprod(x.c)
for(l in 1:p){
for(r in 1:p){
if(abs(l-r) > bandwidth){
S[l,r] = 0
} else{
}
}
}
return(list("est" = S))
}
```

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