Package: MN 1.1

Michail Tsagris

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.

Authors:Michail Tsagris [aut, cre], Alzeley Omar [ctb]

MN_1.1.tar.gz
MN_1.1.tar.gz(r-4.7-any)MN_1.1.tar.gz(r-4.6-any)
MN_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MN/json (API)

# Install 'MN' in R:
install.packages('MN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 1 packages 2 scripts 561 downloads 5 exports 6 dependencies

Last updated from:ce8c180bd2. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK122
source / vignettesOK156
linux-release-x86_64OK113
wasm-releaseOK96

Exports:ddkstestddplotdmnmn.mlermn

Dependencies:rangenRcppRcppArmadilloRcppParallelRfastzigg