Package: WSwavelet Type: Package Title: Bayesian Wavelet Denoising with Wendland-Semicircle Slab Mixture Version: 0.1.0 Date: 2026-09-12 Authors@R: person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nsanyal@utep.edu") Maintainer: Nilotpal Sanyal Description: 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. License: GPL-2 | GPL-3 URL: https://nilotpalsanyal.github.io/WSwavelet/ BugReports: https://github.com/nilotpalsanyal/WSwavelet/issues Depends: R (>= 4.1.0) Imports: wavethresh Suggests: testthat (>= 3.0.0), knitr VignetteBuilder: knitr Config/testthat/edition: 3 Encoding: UTF-8 NeedsCompilation: no Repository: https://nilotpalsanyal.r-universe.dev Date/Publication: 2026-09-13 00:44:34 UTC RemoteUrl: https://github.com/nilotpalsanyal/wswavelet RemoteRef: HEAD RemoteSha: 33ce1cafd0f460bb10e0d5d0b179a8b2848c7d32 Packaged: 2026-09-23 12:17:32 UTC; root Author: Nilotpal Sanyal [aut, cre]