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bayesianOU

0.2.0

Bayesian Nonlinear Ornstein-Uhlenbeck Models with Stochastic Volatility

0packages depend
1.9Kdownloads / year
52.5%test coverage
13/13checks pass

Overview

About
Maintained by José Mauricio Gómez JuliánFirst published 2025-12-192 releasesCRAN page ↗GitHub ↗

Fits Bayesian nonlinear Ornstein-Uhlenbeck models with cubic drift, stochastic volatility, and Student-t innovations. The package implements hierarchical priors for sector-specific parameters and supports parallel MCMC sampling via 'Stan'. Model comparison is performed using Pareto Smoothed Importance Sampling Leave-One-Out (PSIS-LOO) cross-validation following Vehtari, Gelman, and Gabry (2017) doi:10.1007/s11222-016-9696-4. Prior specifications follow recommendations from Gelman (2006) doi:10.1214/06-BA117A for scale parameters.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.31
52.5%
Coverage · measured lines
100%
Documentation · exports
4
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
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 568 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
27%
Documented parameters
91%
Return-value docs
100%
References docs
2%

Downloads

1.9K
CRAN downloads in the past year
Rank #11,572 · ~5/day · ~160/mo
Daily download trend is not available in this view yet.
24530 days
85290 days
1.9K1 year
Compare downloads with other packages →
Also on69 r2u47 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
1Releases
5Commits
1Contributors
bayesian-statisticscranrr-packagestochastic-processes
5 commits · Last activity 2026-07-31

Releases over time

2025-12-20 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

Checks run against github.com/isadorenabi/bayesianou on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (4)
statsgraphicsutilsparallel
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Authors (1)
Package Timeline

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

  • 0.2.0Latest
    2026-06-18 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.3
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-12-19
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Additional repositories
mc-stan.org
Minimum R
≥ 4.1.0
Download size
1.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayesianOU")
Gómez Julián, J. M. (2026). bayesianOU: Bayesian Nonlinear Ornstein-Uhlenbeck Models with Stochastic Volatility (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.bayesianOU

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 bayesianOU version 0.2.0 [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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