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CVThresh (version 1.1.2)

Level-Dependent Cross-Validation Thresholding

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.

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Version

Install

install.packages('CVThresh')

Monthly Downloads

255

Version

1.1.2

License

GPL (>= 2)

Maintainer

Donghoh Kim

Last Published

May 2nd, 2022

Functions in CVThresh (1.1.2)

cvwavelet.after.impute

Cross-Validation Wavelet Shrinkage after imputation
cvwavelet.image

Wavelet reconstruction of image by level-dependent Cross-Validation
heav

Heavisine function
fg1

fg1 function
ipd

Inductance plethysmography data
ppoly

Piecewise polynomial function
cvwavelet

Wavelet reconstruction by level-dependent Cross-Validation
cvtype.image

Generating test dataset index of two-dimensional data for cross-validation
cvwavelet.image.after.impute

Cross-Validation Wavelet Shrinkage for two-dimensional data after imputation
cvtype

Generating test dataset index for cross-validation
CVThresh

Level-Dependent Cross-Validation Approach for Wavelet Thresholding
dopp

Doppler function
cvimpute.image.by.wavelet

Imputation for two-dimensional data by wavelet
cvimpute.by.wavelet

Imputation by wavelet