GWnorm
1.0.2G-Wishart Normalising Constants for Gaussian Graphical Models
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Overview
About
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.
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CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Code health
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Tests · ratio 0.00
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100%
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Check history
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-172 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
- 100%
- Documented parameters
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- Return-value docs
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- References docs
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Also on103 r2u15 autocran
Dependencies
Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
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none
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none
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Package Timeline
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.0.2Latest
- 1.0.12026-05-27 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 1.02026-04-16
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2026-04-16
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet