Package: MN 1.0
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:
MN_1.0.tar.gz
MN_1.0.tar.gz(r-4.5-noble)MN_1.0.tar.gz(r-4.4-noble)
MN_1.0.tgz(r-4.4-emscripten)MN_1.0.tgz(r-4.3-emscripten)
MN.pdf |MN.html✨
MN/json (API)
| # Install 'MN' in R: |
| install.packages('MN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:1b72d929a5. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
Exports:ddkstestddplotdmnmn.mlermn
Dependencies:RcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast
