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CVThresh  

Level-Dependent Cross-Validation Thresholding
View on CRAN: Click here


Download and install CVThresh package within the R console
Install from CRAN:
install.packages("CVThresh")

Install from Github:
library("remotes")
install_github("cran/CVThresh")

Install by package version:
library("remotes")
install_version("CVThresh", "1.1.2")



Attach the package and use:
library("CVThresh")
Maintained by
Donghoh Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-03-13
Latest Update: 2022-05-02
Description:
The level-dependent cross-validation method is implemented for the selection of thresholding value in wavelet shrinkage. This procedure is implemented by coupling a conventional cross validation with an imputation method due to a limitation of data length, a power of 2. It can be easily applied to classical leave-one-out and k-fold cross validation. Since the procedure is computationally fast, a level-dependent cross validation can be performed for wavelet shrinkage of various data such as a data with correlated errors.
How to cite:
Donghoh Kim (2006). CVThresh: Level-Dependent Cross-Validation Thresholding. R package version 1.1.2, https://cran.r-project.org/web/packages/CVThresh. Accessed 07 Oct. 2026.
Previous versions and publish date:
1.0.0 (2006-03-13 10:14), 1.0.1 (2006-04-21 09:34), 1.0.5 (2006-10-04 12:34), 1.1.0 (2012-10-29 08:56), 1.1.1 (2013-01-18 10:21), (2026-07-09 08:00)
Other packages that cited CVThresh R package
View CVThresh citation profile
Other R packages that CVThresh depends, imports, suggests or enhances
Complete documentation for CVThresh
Functions, R codes and Examples using the CVThresh R package
Some associated functions: CVThresh . cvimpute.by.wavelet . cvimpute.image.by.wavelet . cvtype.image . cvtype . cvwavelet.after.impute . cvwavelet.image.after.impute . cvwavelet.image . cvwavelet . dopp . fg1 . heav . ipd . ppoly . 
Some associated R codes: CVThresh.R .  Full CVThresh package functions and examples
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