G-Wishart Normalising Constants for Gaussian Graphical Models
Overview
Computes G-Wishart normalising constants through a Fourier approach. Either exact analytical results, numerical integration or Monte Carlo estimation are employed. Details at C. Wong, G. Moffa and J. Kuipers (2024), doi:10.48550/arXiv.2404.06803. Also includes approximations of the ratio of normalising constants, see details at C. Wong, G. Moffa and J. Kuipers (2025), doi:10.48550/arXiv.2503.13046.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- ERROR2 OK, 1 ERROR2026-04-17
Documentation
- Help pages
- 17
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 76%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 1.0.2Latest
- 1.0.12026-05-27 · diff ↗ ·
added 7 exports
I_G_ratio_approx, I_G_ratio_approx_prime, Iss_mat, Iss_cmat, is_6_cycle, is_k_partite, I_G_special - RR 4.6.0 released · 2026-04-24
- 1.02026-04-16
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-16
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 19 KB
Cite
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