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WSwavelet
View on CRAN: Click
here
Download and install WSwavelet package within the R console
Install from CRAN:
install.packages("WSwavelet")
Install from Github:
library("remotes")
install_github("cran/WSwavelet") Install by package version:
library("remotes")
install_version("WSwavelet", "0.1.0") Attach the package and use:
library("WSwavelet")
Maintained by
Nilotpal Sanyal
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-23
Latest Update: 2026-09-23
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.
How to cite:
Nilotpal Sanyal (2026). WSwavelet: Bayesian Wavelet Denoising with Wendland-Semicircle Slab Mixture. R package version 0.1.0, https://cran.r-project.org/web/packages/WSwavelet. Accessed 24 Oct. 2026.
Previous versions and publish date:
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