Package: CVThresh
Title: Level-Dependent Cross-Validation Thresholding
Version: 1.1.2
Date: 2022-05-02
Author: Donghoh Kim <donghoh.kim@gmail.com>, Hee-Seok Oh
        <heeseok@stats.snu.ac.kr>
Maintainer: Donghoh Kim <donghoh.kim@gmail.com>
Depends: R (>= 2.15.1), wavethresh (>= 4.6.1), EbayesThresh (>= 1.3.2)
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.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-06-22 07:49:01 UTC; root
Repository: https://dkimstatlab.r-universe.dev
Date/Publication: 2022-05-02 02:20:02 UTC
RemoteUrl: https://github.com/cran/CVThresh
RemoteRef: HEAD
RemoteSha: 8da55e104bb57a9f1ba0df3ba2c1e27e4601e4ee