thresholding of wavelet coefficients
Description
pdCART performs hard tree-structured thresholding of the Hermitian matrix-valued
thresholding of wavelet coefficients
Description
pdCART performs hard tree-structured thresholding of the Hermitian matrix-valued
<- R6::R6Class(
#' "Agrofims",
#' public = list(
, wt2$M0, metric = "logEuclidean"), example$P)
## pdCART
wt1_den <- pdCART(wt1$D, wt1$D.white, order = 5, periodic
transform, with WavTransf1D,
(tree-structured) thresholding of the wavelet coefficients, with pdCART,
an inverse
of the wavelet coefficients, with pdCART,
an inverse intrinsic AI wavelet transform, with InvWavTransf2D.
The complete
wavelet thresholding with `pdCART`
+ Depth-based intrinsic confidence regions with `pdConfInt1D`
+ New example
, wt2$M0, metric = "logEuclidean"), example$P)
## pdCART
wt1_den <- pdCART(wt1$D, wt1$D.white, order = 5, periodic
of the wavelet coefficients, with pdCART,
an inverse intrinsic AI wavelet transform, with InvWavTransf2D.
The complete
transform, with WavTransf1D,
(tree-structured) thresholding of the wavelet coefficients, with pdCART,
an inverse
with `pdPgram2D`
+ Tree-structured 1D and 2D wavelet thresholding with `pdCART`
+ Depth-based intrinsic confidence regions
{\link{WavTransf1D}},
#' \item (tree-structured) thresholding of the wavelet coefficients, with \code{\link{pdCART{\link{WavTransf1D}},
#' \item (tree-structured) thresholding of the wavelet coefficients, with \code{\link{pdCART, path and username.
#' @param group An integer. ID of the group to retrieve.
#' @param studyInfo A list. Stores
if ("DataSpaceStudy" %in% class(cavd)) {
con_names <- c(
".__enclos_env__",if ("DataSpaceStudy" %in% class(cavd)) {
con_names <- c(
".__enclos_env__",if ("DataSpaceStudy" %in% class(cavd)) {
con_names <- c(
".__enclos_env__",, path and username.
#' @param group An integer. ID of the group to retrieve.
#' @param studyInfo A list. Stores
, path and username.
#' @param group An integer. ID of the group to retrieve.
#' @param studyInfo A list. Stores
if ("DataSpaceStudy" %in% class(cavd)) {
con_names <- c(
".__enclos_env__",Add the following code to your website.
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