GWnorm
G-Wishart Normalising Constants for Gaussian Graphical Models
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | GWnorm_1.0.tar.gz |
113.4 KiB |
1.0 |
rolling linux/noble R-4.5 | GWnorm_1.0.tar.gz |
115.1 KiB |
1.0 |
rolling source/ R- | GWnorm_1.0.tar.gz |
12.8 KiB |
1.0 |
latest linux/jammy R-4.5 | GWnorm_1.0.tar.gz |
113.4 KiB |
1.0 |
latest linux/noble R-4.5 | GWnorm_1.0.tar.gz |
115.1 KiB |
1.0 |
latest source/ R- | GWnorm_1.0.tar.gz |
12.8 KiB |
1.0 |
2026-04-26 source/ R- | GWnorm_1.0.tar.gz |
12.8 KiB |
1.0 |
2026-04-23 source/ R- | GWnorm_1.0.tar.gz |
12.8 KiB |