Introduction and overview | What problem does WSwavelet solve? | WSwavelet in one picture | Installation and first example | Installation | A reproducible synthetic signal | Fitting the primary Gaussian version | Statistical model | Wavelet-domain observation model | Wendland and semicircle slab densities | Spike-and-slab prior | Resolution-dependent slab weights | Data-adaptive support scale | Posterior shrinkage | The coefficient-level posterior | Inspecting one shrinkage curve | Using level_posterior() independently | Likelihood options and model variants | Laplace working likelihood | Constant and endpoint slab specifications | Independent utility functions | Estimating the noise scale | Numerical checks | Practical guidance and troubleshooting | Choosing the likelihood | Choosing the quadrature order | Input length and boundaries | Interpreting the support scale | Reproducibility | Citation
This package is considered a duplicate. The official version of this package is found at:https://nilotpalsanyal.r-universe.dev/WSwavelet
Package: WSwavelet 0.1.0
Nilotpal Sanyal
WSwavelet: Bayesian Wavelet Denoising with Wendland-Semicircle Slab Mixture
Bayesian wavelet denoising using a resolution-adaptive spike-and-slab prior whose continuous slab is a mixture of a compactly supported Wendland-type density and the semicircle density. The package provides Gaussian and Laplace working-likelihood versions, empirical-Bayes fitting of resolution-specific slab weights, robust noise-scale estimation, posterior-mean coefficient shrinkage, reconstruction by the inverse discrete wavelet transform, and diagnostic tools.
Authors:
WSwavelet_0.1.0.tar.gz
WSwavelet_0.1.0.zip(r-4.7-any)WSwavelet_0.1.0.zip(r-4.6-any)
WSwavelet_0.1.0.tar.gz(r-4.7-any)WSwavelet_0.1.0.tar.gz(r-4.6-any)
WSwavelet_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
WSwavelet/json (API)
| # Install 'WSwavelet' in R: |
| install.packages('WSwavelet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nilotpalsanyal/wswavelet/issues
Pkgdown/docs site:https://nilotpalsanyal.github.io
Last updated from:3e5ed3be32. Checks:4 WARNING, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 168 | ||
| source / vignettes | OK | 228 | ||
| linux-release | WARNING | 135 | ||
| windows-devel | WARNING | 76 | ||
| windows-release | WARNING | 59 | ||
| wasm-release | OK | 104 |
Exports:estimate_noise_sdevaluate_shrinkage_curvelevel_posteriorsemicircle_kernelwendland_kernelws_numerical_checkswswavelet
Dependencies:MASSwavethresh
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| WSwavelet: Bayesian Wavelet Denoising with Wendland-Semicircle Slab Mixture | WSwavelet-package WSwavelet |
| Robust Wavelet-Based Noise-Scale Estimation | estimate_noise_sd |
| Evaluate a Fitted Wavelet Shrinkage Curve | evaluate_shrinkage_curve |
| Posterior Probabilities and Means for One Wavelet Level | level_posterior |
| Standardized Semicircle Slab Density | semicircle_kernel |
| Standardized Wendland-Type Slab Density | wendland_kernel |
| Numerical Checks for the WS Posterior-Mean Rule | ws_numerical_checks |
| Resolution-Adaptive Bayesian Wavelet Denoising | wswavelet |