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CVThresh
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]
[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 30 Jan. 2025.
Previous versions and publish date:
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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