Normal scale bandwidth.

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`x` |
vector/matrix of data values |

`deriv.order` |
derivative order |

`Hns`

is equal to `(4/(n*(d+2*r+2)))^(2/(d+2*r+4))*var(x)`

,
n = sample size, d = dimension of data, r = derivative
order. `hns`

is the analogue of `Hns`

for 1-d data. These
can be used for density (derivative) estimators
`kde`

, `kdde`

.
The equivalents for distribution estimators `kcde`

are
`Hns.kcde`

and `hns.cde`

.

Unconstrained normal scale bandwidth matrix.

Chacon J.E., Duong, T. & Wand, M.P. (2011). Asymptotics for
general multivariate kernel density derivative
estimators. *Statistica Sinica*. **21**, 807-840.

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