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.html , 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:

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