CVThresh: Level-Dependent Cross-Validation Thresholding

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.

Getting started

Package details

AuthorDonghoh Kim <donghoh.kim@gmail.com>, Hee-Seok Oh <heeseok@stats.snu.ac.kr>
MaintainerDonghoh Kim <donghoh.kim@gmail.com>
LicenseGPL (>= 2)
Version1.1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CVThresh")

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CVThresh documentation built on May 2, 2022, 9:09 a.m.