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mggd: Multivariate Generalised Gaussian Distribution; Kullback-Leibler Divergence

Distance between multivariate generalised Gaussian distributions, as presented by N. Bouhlel and A. Dziri (2019) <doi:10.1109/LSP.2019.2915000>. Manipulation of multivariate generalised Gaussian distributions (methods presented by Gomez, Gomez-Villegas and Marin (1998) <doi:10.1080/03610929808832115> and Pascal, Bombrun, Tourneret and Berthoumieu (2013) <doi:10.1109/TSP.2013.2282909>).

Version: 1.3.1
Depends: R (≥ 4.3.0)
Imports: MASS, rgl, lifecycle, data.table
Suggests: testthat (≥ 3.0.0)
Published: 2024-07-05
DOI: 10.32614/CRAN.package.mggd
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut]
Maintainer: Pierre Santagostini <pierre.santagostini at agrocampus-ouest.fr>
BugReports: https://forgemia.inra.fr/imhorphen/mggd/-/issues
License: GPL (≥ 3)
URL: https://forgemia.inra.fr/imhorphen/mggd
NeedsCompilation: no
In views: Distributions
CRAN checks: mggd results

Documentation:

Reference manual: mggd.pdf

Downloads:

Package source: mggd_1.3.1.tar.gz
Windows binaries: r-devel: mggd_1.3.1.zip, r-release: mggd_1.3.1.zip, r-oldrel: mggd_1.3.1.zip
macOS binaries: r-release (arm64): mggd_1.3.1.tgz, r-oldrel (arm64): mggd_1.3.1.tgz, r-release (x86_64): mggd_1.3.1.tgz, r-oldrel (x86_64): mggd_1.3.1.tgz
Old sources: mggd archive

Linking:

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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.