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SparseTSCGM

5.0

Sparse Time Series Chain Graphical Models

0packages depend
2.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Fentaw AbegazFirst published 2026-03-199 releasesCRAN page ↗

Computes sparse vector autoregressive coefficients and sparse precision matrices for time series chain graphical models. Methods are described in Abegaz and Wit (2013) doi:10.1093/biostatistics/kxt005.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-20
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
33%
References docs
38%

Downloads

2.3K
CRAN downloads in the past year
Rank #8,094 · ~6/day · ~193/mo
Daily download trend is not available in this view yet.
20930 days
1.1K90 days
2.3K1 year
Compare downloads with other packages →
Also on414 r2u10 autocran28 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 5.0Latest
    2026-03-19 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-03-19
  • archivedRemoved from CRAN
    2026-02-01
    requires archived package 'huge'
  • 4.1
    2026-01-09 · diff ↗
  • unarchivedReturned to CRAN
    2026-01-09
  • R
    R 4.5.0 released · 2025-04-11
  • archivedRemoved from CRAN
    2025-04-01
    email to the maintainer is undeliverable
  • 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
  • R
    R 4.1.0 released · 2021-05-18
  • 4.0
    2021-01-13 · diff ↗
  • unarchivedReturned to CRAN
    2021-01-13
  • archivedRemoved from CRAN
    2020-08-03
    required archived package 'QUIC'
  • 3.0
    2020-05-24 · diff ↗
Show 15 earlier events
  • unarchivedReturned to CRAN
    2020-05-24
  • archivedRemoved from CRAN
    2020-05-17
    required archived package 'flare'
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 2.5
    2016-11-07 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 2.2
    2015-07-16 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 2.1.1
    2014-08-21 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 2.0
    2014-01-31 · diff ↗
  • 1.0
    2013-05-24
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2026-03-19
Total releases
9 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
9.5 KB / 1 file
Download size
26 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SparseTSCGM")
Abegaz, F., & Wit, E. (2026). SparseTSCGM: Sparse Time Series Chain Graphical Models (Version 5.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SparseTSCGM

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 SparseTSCGM version 5.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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