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tsnet

0.2.0Package record

Fitting, Comparing, and Visualizing Networks Based on Time Series Data

0packages depend
3Kdownloads / year
65.7%test coverage
13/13flavors OK

Overview

About

Fit, compare, and visualize Bayesian graphical vector autoregressive (GVAR) network models using 'Stan'. These models are commonly used in psychology to represent temporal and contemporaneous relationships between multiple variables in intensive longitudinal data. Fitted models can be compared with a test based on matrix norm differences of posterior point estimates to quantify the differences between two estimated networks. See also Siepe, Kloft & Heck (2024) doi:10.31234/osf.io/uwfjc.

Changes in 0.2.0
  • Fixed documentation issues (e.g., wrong display of LaTex equations).
  • Fixed test for ggplot object.
  • Added experimental forecasting functionality.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 22.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK12 OK2026-04-25
Show 3 earlier changesHide 3 earlier changes
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 279 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
14includes a package overview page
Examples that run
45%5 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3K
CRAN downloads in the past year
Rank #13,600 · ~8/day · ~248/mo
Daily download trend is not available in this view yet.
32530 days
85490 days
3K1 year
Compare downloads with other packages →
Also on387 r2u5 autocran

Repository

2Stars
1Forks
0Open issues
0Open PRs
1Releases
143Commits
1Commit identities
License file reads as GPL-3.0 · 143 commits · Last activity 2026-10-21
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
7
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-05-27 · 22026-07-07 · 2
PracticesBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/bsiepe/tsnet on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 2 practices
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing tsnet adds 58 packages (29 with compiled code, 63 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)
R >= 4.1.0
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2024), Copyright holder
Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0Latest
    record
    2025-06-20 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0
    record
    2024-02-28
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-02-28
Total releases
2 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Bundled data
238 KB / 2 files
Download size
694 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tsnet")
Siepe, B. S., Heck, D. W., & Kloft, M. (2025). tsnet: Fitting, Comparing, and Visualizing Networks Based on Time Series Data (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tsnet

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tsnet version 0.2.0 [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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