Package: CVThresh 1.1.2
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.
Authors:
CVThresh_1.1.2.tar.gz
CVThresh_1.1.2.zip(r-4.5)CVThresh_1.1.2.zip(r-4.4)CVThresh_1.1.2.zip(r-4.3)
CVThresh_1.1.2.tgz(r-4.4-any)CVThresh_1.1.2.tgz(r-4.3-any)
CVThresh_1.1.2.tar.gz(r-4.5-noble)CVThresh_1.1.2.tar.gz(r-4.4-noble)
CVThresh_1.1.2.tgz(r-4.4-emscripten)CVThresh_1.1.2.tgz(r-4.3-emscripten)
CVThresh.pdf |CVThresh.html✨
CVThresh/json (API)
| # Install 'CVThresh' in R: |
| install.packages('CVThresh', repos = c('https://dkimstatlab.r-universe.dev', 'https://cloud.r-project.org')) |
- ipd - Inductance plethysmography data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:8da55e104b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-win | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
| R-4.4-win | OK | Nov 12 2024 |
| R-4.4-mac | OK | Nov 12 2024 |
| R-4.3-win | OK | Nov 12 2024 |
| R-4.3-mac | OK | Nov 12 2024 |
Exports:cvimpute.by.waveletcvimpute.image.by.waveletcvtypecvtype.imagecvwaveletcvwavelet.after.imputecvwavelet.imagecvwavelet.image.after.imputedoppfg1heavppoly
Dependencies:EbayesThreshMASSwavethresh
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Imputation by wavelet | cvimpute.by.wavelet |
| Imputation for two-dimensional data by wavelet | cvimpute.image.by.wavelet |
| Level-Dependent Cross-Validation Approach for Wavelet Thresholding | CVThresh-package CVThresh |
| Generating test dataset index for cross-validation | cvtype |
| Generating test dataset index of two-dimensional data for cross-validation | cvtype.image |
| Wavelet reconstruction by level-dependent Cross-Validation | cvwavelet |
| Cross-Validation Wavelet Shrinkage after imputation | cvwavelet.after.impute |
| Wavelet reconstruction of image by level-dependent Cross-Validation | cvwavelet.image |
| Cross-Validation Wavelet Shrinkage for two-dimensional data after imputation | cvwavelet.image.after.impute |
| Doppler function | dopp |
| fg1 function | fg1 |
| Heavisine function | heav |
| Inductance plethysmography data | ipd |
| Piecewise polynomial function | poly ppoly |
