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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.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: wavethresh
Suggests: testthat (≥ 3.0.0), knitr
Published: 2026-09-23
DOI: 10.32614/CRAN.package.WSwavelet (may not be active yet)
Author: Nilotpal Sanyal [aut, cre]
Maintainer: Nilotpal Sanyal <nsanyal at utep.edu>
BugReports: https://github.com/nilotpalsanyal/WSwavelet/issues
License: GPL-2 | GPL-3
URL: https://nilotpalsanyal.github.io/WSwavelet/
NeedsCompilation: no
Citation: WSwavelet citation info
Materials: README, NEWS
CRAN checks: WSwavelet results

Documentation:

Reference manual: WSwavelet.html , WSwavelet.pdf
Vignettes: WSwavelet User Guide (source, R code)

Downloads:

Package source: WSwavelet_0.1.0.tar.gz
Windows binaries: r-devel: WSwavelet_0.1.0.zip, r-release: not available, r-oldrel: WSwavelet_0.1.0.zip
macOS binaries: r-release (arm64): WSwavelet_0.1.0.tgz, r-oldrel (arm64): WSwavelet_0.1.0.tgz, r-release (x86_64): WSwavelet_0.1.0.tgz, r-oldrel (x86_64): WSwavelet_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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