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GWnorm

1.0.2

G-Wishart Normalising Constants for Gaussian Graphical Models

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1.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jack KuipersFirst published 2026-04-163 releasesCRAN page ↗

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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Health

CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-17
    2 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

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Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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Code & Tests

People & History

People (2)
Maintainer (1)
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Package Timeline

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

  • 1.0.2Latest
    2026-07-07 · current release · diff ↗
  • 1.0.1
    2026-05-27 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0
    2026-04-16
  • R
    R 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
not tracked yet
Installed size
not tracked yet
With dependencies
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