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This package was removed from CRAN on 2025-02-28. Its history is shown below.
Reason: issues were not corrected despite reminders
Details below reflect version 0.2.3, its last release before removal.

spectralGraphTopology

0.2.3Package record

Learning Graphs from Data via Spectral Constraints

0packages depend
–downloads / year
–test coverage
–flavors OK

Overview

About

In the era of big data and hyperconnectivity, learning high-dimensional structures such as graphs from data has become a prominent task in machine learning and has found applications in many fields such as finance, health care, and networks. 'spectralGraphTopology' is an open source, documented, and well-tested R package for learning graphs from data. It provides implementations of state of the art algorithms such as Combinatorial Graph Laplacian Learning (CGL), Spectral Graph Learning (SGL), Graph Estimation based on Majorization-Minimization (GLE-MM), and Graph Estimation based on Alternating Direction Method of Multipliers (GLE-ADMM). In addition, graph learning has been widely employed for clustering, where specific algorithms are available in the literature. To this end, we provide an implementation of the Constrained Laplacian Rank (CLR) algorithm.

Changes in 0.2.3
  • Minor changes to comply with CRAN policies.

From NEWS.md in the release

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

Documentation

In release 0.2.3
READMEYes · 427 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 0.2.3Citation fileYes · cites a publicationWebsiteYes
Help pages
25includes a package overview page
Examples that run
100%14 run in a plain check
Exported functions with examples
58%
Documented parameters
100%
Return-value docs
67%
Help pages citing references
44%

Downloads

Daily download trend is not available in this view yet.
Also on330 r2u5 autocran120 c2d4u

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (5)
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer since 0.1.0 (2019), Author
Author
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.5.0 released · 2025-04-11
  • archivedRemoved from CRAN
    2025-02-28
    issues were not corrected despite reminders
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.3
    record
    2022-03-14 · diff ↗
  • 0.2.2
    record
    2022-03-11 · diff ↗ ·
    added 12 exports
    Astar, D, Dstar, Lstar, accuracy, fdr, learn_graph_sigrep, learn_smooth_approx_graph, learn_smooth_graph, npv, recall, specificity
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • unarchivedReturned to CRAN
    2019-10-12
  • 0.2.0
    record
    2019-10-12 · diff ↗ ·
    added 2 exports
    fscore, learn_combinatorial_graph_laplacian
  • unarchivedReturned to CRAN
    2019-09-22
    Re-archived 2019-09-24 as check problems were still present
  • archivedRemoved from CRAN
    2019-09-22
    check problems were not corrected in time
  • 0.1.2
    record
    2019-09-22 · diff ↗ ·
    added 2 exports
    learn_laplacian_gle_admm, learn_laplacian_gle_mm
  • 0.1.1
    record
    2019-06-03 · diff ↗
  • 0.1.0
    record
    2019-05-08
Show 1 earlier eventHide 1 earlier event
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-05-08
Total releases
6 / 7 yrs
License
GPL-3 OSI

Cite

Cite this package

Run in R for the authors' entry:

citation("spectralGraphTopology")

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

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 spectralGraphTopology version 0.2.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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