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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>.

Version: 1.0
Depends: R (≥ 4.0.0)
Imports: igraph, BDgraph, CholWishart, MASS, mvtnorm, Rcpp (≥ 1.1.1)
LinkingTo: Rcpp, RcppEigen
Published: 2026-04-16
DOI: 10.32614/CRAN.package.GWnorm
Author: Ching Wong [aut], Jack Kuipers [aut, cre]
Maintainer: Jack Kuipers <jack.kuipers at bsse.ethz.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: GWnorm results

Documentation:

Reference manual: GWnorm.html , GWnorm.pdf

Downloads:

Package source: GWnorm_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: GWnorm_1.0.zip, r-oldrel: GWnorm_1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): GWnorm_1.0.tgz, r-oldrel (x86_64): GWnorm_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GWnorm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.