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GWnorm  

G-Wishart Normalising Constants for Gaussian Graphical Models
View on CRAN: Click here


Download and install GWnorm package within the R console
Install from CRAN:
install.packages("GWnorm")

Install from Github:
library("remotes")
install_github("cran/GWnorm")

Install by package version:
library("remotes")
install_version("GWnorm", "1.0")



Attach the package and use:
library("GWnorm")
Maintained by
Jack Kuipers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-16
Latest Update: 2026-04-16
Description:
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>.
How to cite:
Jack Kuipers (2026). GWnorm: G-Wishart Normalising Constants for Gaussian Graphical Models. R package version 1.0, https://cran.r-project.org/web/packages/GWnorm. Accessed 21 Aug. 2026.
Previous versions and publish date:
1.0.1 (2026-05-27 09:30), 1.0 (2026-04-16 11:42), (2026-07-09 08:05)
Other packages that cited GWnorm R package
View GWnorm citation profile
Other R packages that GWnorm depends, imports, suggests or enhances
Complete documentation for GWnorm
Functions, R codes and Examples using the GWnorm R package
Full GWnorm package functions and examples
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