FullWaveletCV

A vector of dyadic (power of two) length that contains the
	noisy data that you wish to apply wavelet shrinkage by
	cross-validation to.

noisy

The primary resolution that you wish to assume. No wavelet coefficients that are on coarser scales than ll will be thresholded.

this option specifies the thresholding type which can be "hard" or "soft".

type

This selects the smoothness of wavelet that you want to perform wavelet shrinkage by cross-validation.

filter.number

specifies the family of wavelets that you want to use. The options are "DaubExPhase" and "DaubLeAsymm".

family

this specifies the convergence tolerance for the cross-validation optimization routine (a golden section search).

Controls the printing of "informative" messages whilst the computations progress. Such messages are generally annoying so it is turned off by default.

verbose

Perform whole wavelet cross-validation in C code. This
routine equivalent to <code><a href="/link/CWCV?package=wavethresh&version=4.6.1" rd-options="" data-mini-rdoc="wavethresh::CWCV">CWCV</a></code> except that
more preparatory material is passed to C code for speed. The major difference is that only the cross-validated wavelet
threshold is returned.

smooth

Performs 1, 2 and 3D real and complex-valued wavelet
        transforms, nondecimated transforms, wavelet packet transforms,
        nondecimated wavelet packet transforms, multiple wavelet
        transforms, complex-valued wavelet transforms, wavelet
        shrinkage for various kinds of data, locally stationary wavelet
        time series, nonstationary multiscale transfer function
        modeling, density estimation.

FullWaveletCV: Perform whole wavelet cross-validation in C code

Description

Usage

Arguments

Value

Details

See Also