Bayesian Wavelet Denoising with Wendland-Semicircle Slab Mixture R package WSwavelet version 0.1.0 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. Software Depends: R (>= 4.1.0) Imports: wavethresh Suggests: testthat (>= 3.0.0), knitr Nilotpal Sanyal <nsanyal@utep.edu> Comprehensive R Archive Network (CRAN) Nilotpal Sanyal [aut, cre] GPL-2 GPL-3 2026-09-23 application/tgz https://CRAN.R-project.org/package=WSwavelet doi:10.32614/CRAN.package.WSwavelet