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MN: Matrix Normal Distribution

Density computation, random matrix generation and maximum likelihood estimation of the matrix normal distribution. References: Pocuca N., Gallaugher M. P., Clark K. M. & McNicholas P. D. (2019). Assessing and Visualizing Matrix Variate Normality. <doi:10.48550/arXiv.1910.02859> and the relevant wikipedia page.

Version: 1.0
Depends: R (≥ 4.0)
Imports: Rfast
Published: 2024-05-22
DOI: 10.32614/CRAN.package.MN
Author: Michail Tsagris [aut, cre], Alzeley Omar [ctb]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MN results

Documentation:

Reference manual: MN.pdf

Downloads:

Package source: MN_1.0.tar.gz
Windows binaries: r-devel: MN_1.0.zip, r-release: MN_1.0.zip, r-oldrel: MN_1.0.zip
macOS binaries: r-release (arm64): MN_1.0.tgz, r-oldrel (arm64): MN_1.0.tgz, r-release (x86_64): MN_1.0.tgz, r-oldrel (x86_64): MN_1.0.tgz

Reverse dependencies:

Reverse imports: MLE

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MN 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.