Function is essentially the same as Chires5
but also returns covariances between coefficients.
A subsidiary routine for denproj. Not intended for direct
user use.
Chires6(x, tau=1, J, filter.number=10, family="DaubLeAsymm", nT=20)A list with the following components:
The scaling function coefficients
The coefficients' covariance matrix
The integer translates of the scaling functions used
The primary resolution, calculated in code as tau*2^J
The usual filter information, see filter.select
The length of the data x
A list containing components: p, as above, tau
as input and J as above. This summarizes the resolution
information
The data (random sample for density estimation)
Fine tuning parameter
Resolution level
The smoothness of the wavelet, see filter.select
The family of the wavelet, see family
The number of iterations in the Daubechies-Lagarias algorithm
David Herrick
As description
Chires6,denproj