bayesianVARs
0.1.8MCMC Estimation of Bayesian Vectorautoregressions
Overview
Efficient Markov Chain Monte Carlo (MCMC) algorithms for the fully Bayesian estimation of vectorautoregressions (VARs) featuring stochastic volatility (SV). Implements state-of-the-art shrinkage priors following Gruber & Kastner (2025) doi:10.1016/j.ijforecast.2025.02.001. Efficient equation-per-equation estimation following Kastner & Huber (2020) doi:10.1002/for.2680 and Carrerio et al. (2021) doi:10.1016/j.jeconom.2021.11.010.
Install
Health
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-04-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0911 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 78%
- References docs
- 20%
Downloads
Repository
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/luisgruber/bayesianvars on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 2.0 median / 134 max
- Test cases
- 11 / 0.18 per code line
Test coverage
Line coverage
54%
Expression
54.4%
Tests / Examples
54.3% / 60% ex
Functions
115 9 exported
Complexity
11 avg / 134 max
Call network
115 nodes / 55 edges
Call graph
Open call graph →Lowest coverage
115 functions| Function | Cyclo | Coverage |
|---|---|---|
| posterior_heatmap exp | 34 | 0% |
| stable_bvar exp | 13 | 0% |
| .onUnload | 1 | 0% |
| coef.bayesianVARs_bvar | 1 | 0% |
| data_prep | 2 | 0% |
| fitted.bayesianVARs_bvar | 2 | 0% |
People & History
8 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.8Latest
- 0.1.62026-01-29 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.1.52024-11-13 · diff ↗
- 0.1.42024-09-06 · diff ↗
- unarchivedReturned to CRAN2024-09-06
- archivedRemoved from CRAN2024-09-04issues were not corrected in time
- 0.1.32024-06-26 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.1.22024-01-20 · diff ↗
- 0.1.12024-01-17 · diff ↗
- 0.1.02024-01-13
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-01-13
- Total releases
- 8 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 37 KB / 1 file
- Download size
- 774 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet