bayesianOU
0.2.0Bayesian Nonlinear Ornstein-Uhlenbeck Models with Stochastic Volatility
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 27%
- Documented parameters
- 91%
- Return-value docs
- 100%
- References docs
- 2%
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Checks run against github.com/isadorenabi/bayesianou on 2026-08-16.
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Dependencies
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.2.0Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.32026-03-10
- RR 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
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