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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | WSwavelet_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
rolling linux/noble R-4.5 | WSwavelet_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
rolling source/ R- | WSwavelet_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
latest linux/jammy R-4.5 | WSwavelet_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
latest linux/noble R-4.5 | WSwavelet_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
latest source/ R- | WSwavelet_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
2026-04-23 source/ R- | WSwavelet_0.1.0.tar.gz |
0 B |