R Observatory: Metrics for GSCAD version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2018-07-29. Its history is shown below.

Reason: errors were not corrected despite reminders. Use of deprecated C++ code and reserved-for-system identifiers such as _X

Details below reflect version 0.1.0, its last release before removal.

GSCAD

0.1.0Package record

Implementing GSCAD Method for Image Denoising and Inpainting

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Simeng QuCRAN page ↗

Method proposed in "Simultaneous Sparse Dictionary Learning and Pruning" ( Qu and Wang (2016) arXiv:1605.07870) is implemented. The idea is to conduct a linear decomposition of a signal using a few atoms of a learned and usually over-completed dictionary instead of a pre-defined basis. A proper size of the to-be-learned dictionary is determining at the same time during the procedure. Application includes image denoising and image inpainting.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/GSCAD/GSCAD_0.1.0.tar.gz"
pkgFile <- "GSCAD_0.1.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.1.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 16
Examples that run: 100%11 run in a plain check
Exported functions with examples: 79%
Documented parameters: 84%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

GSCAD Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.2.3

Imports (4)

RcppMatrixfieldsmethods

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Simeng Qu

Author, Maintainer since 0.1.0 (2017)

Xiao Wang

Author

Releases (1)

R
R 3.6.0 released · 2019-04-26
archivedRemoved from CRAN
2018-07-29
errors were not corrected despite reminders Use of deprecated C++ code and reserved-for-system identifiers such as _X
R
R 3.5.0 released · 2018-04-23
0.1.0
record
2017-10-06
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-10-06
Total releases: 1 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.2.3
Bundled data: 200 KB / 2 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GSCAD")

Format

Qu, S., & Wang, X. (n.d.). GSCAD: Implementing GSCAD Method for Image Denoising and Inpainting (Version 0.1.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=GSCAD

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 GSCAD version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →