R Observatory: Metrics for WSwavelet version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WSwavelet

0.1.0Package record

Bayesian Wavelet Denoising with Wendland-Semicircle Slab Mixture

0packages depend

305downloads / year

39.8%test coverage

13/13flavors OK

Overview

About

Maintained by Nilotpal SanyalCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 0.1.0

Initial package release accompanying Sanyal (2026), *Axioms*, 15(9), 678.

The release provides the resolution-adaptive Wendland-Semicircle Bayesian

wavelet denoiser, Gaussian and Laplace working-likelihood options, independent

posterior and kernel evaluators, robust noise estimation, shrinkage-curve

inspection, and numerical diagnostics.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("WSwavelet", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("nilotpalsanyal/WSwavelet")

Development version from nilotpalsanyal/WSwavelet. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-wswavelet

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-WSwavelet

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-WSwavelet

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.8 min · r-release-macos-x86_64

Status changes

OK13 OKNow
OK5 OK2026-09-23

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 217 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 0.1.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 8includes a package overview page
Examples that run: 43%3 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 100%

Vignettes (1)

WSwavelet User Guide

How these are measured

Downloads

305

CRAN downloads in the past year

Rank #25,289 · ~1/day · ~25/mo

Releases R versions

Daily download trend is not available in this view yet.

30530 days

30590 days

3051 year

Compare downloads with other packages →

Also on5 r2u1 autocran

How downloads are counted

Repository

nilotpalsanyal/wswavelet ↗Account: nilotpalsanyal

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-09-13

Responsiveness

not measured

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/nilotpalsanyal/wswavelet on 2026-10-11.

Docs source (2)

pkgdown

GitHub Pages site last deployed 2026-09-13

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing WSwavelet adds 1 package (1 with compiled code, 567 KB of source tarballs). Heaviest: wavethresh 567 KB.

Depends (1)

R >= 4.1.0

Imports (1)

wavethresh

LinkingTo (0)

none

Suggests (2)

testthat knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Nilotpal Sanyal

Author, Maintainer since 0.1.0 (2026)

Releases (1)

0.1.0Latest
record
2026-09-23 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-23
Total releases: 1 / 1 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 4.1.0
Download size: 1.6 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("WSwavelet")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.3390/axioms15090678.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for WSwavelet version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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