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singR

0.1.3

Simultaneous Non-Gaussian Component Analysis

0packages depend
2.7Kdownloads / year
45.6%test coverage
13/13checks pass

Overview

About
Maintained by Liangkang WangFirst published 2022-08-224 releasesCRAN page ↗

Implementation of SING algorithm to extract joint and individual non-Gaussian components from two datasets. SING uses an objective function that maximizes the skewness and kurtosis of latent components with a penalty to enhance the similarity between subject scores. Unlike other existing methods, SING does not use PCA for dimension reduction, but rather uses non-Gaussianity, which can improve feature extraction. Benjamin B.Risk, Irina Gaynanova (2021) doi:10.1214/21-AOAS1466.

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.06
45.6%
Coverage · measured lines
94%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • WARNING2026-06-07
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
Show 4 earlier snapshots
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
38%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #12,969 · ~7/day · ~222/mo
Daily download trend is not available in this view yet.
20930 days
78590 days
2.7K1 year
Compare downloads with other packages →
Also on379 r2u14 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.3Latest
    2025-01-27 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2
    2024-02-09 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.1
    2022-09-12 · diff ↗
  • 0.1.0
    2022-08-22
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-08-22
Total releases
4 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 2.10
Bundled data
2.3 MB / 1 file
Download size
2.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("singR")
Wang, L., Gaynanova, I., & Risk, B. (2025). singR: Simultaneous Non-Gaussian Component Analysis (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.singR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for singR version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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