Fitting, Comparing, and Visualizing Networks Based on Time Series Data
Overview
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.
- 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
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-29
- ERROR12 OK, 1 ERROR2026-07-27
- OK12 OK2026-04-25
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- NOTE11 OK, 3 NOTE2026-04-22
- ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- 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
Repository
- 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
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8 development-tooling and community-health practices detected across 6 families in the upstream repository
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- RR 4.6.0 released · 2026-04-24
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- RR 4.4.0 released · 2024-04-24
- 0.1.02024-02-28
- RR 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
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