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matrixsampling  

Simulations of Matrix Variate Distributions
View on CRAN: Click here


Download and install matrixsampling package within the R console
Install from CRAN:
install.packages("matrixsampling")

Install from Github:
library("remotes")
install_github("cran/matrixsampling")

Install by package version:
library("remotes")
install_version("matrixsampling", "2.0.0")



Attach the package and use:
library("matrixsampling")
Maintained by
Stéphane Laurent
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-11
Latest Update: 2019-08-24
Description:
Provides samplers for various matrix variate distributions: Wishart, inverse-Wishart, normal, t, inverted-t, Beta type I, Beta type II, Gamma, confluent hypergeometric. Allows to simulate the noncentral Wishart distribution without the integer restriction on the degrees of freedom.
How to cite:
Stéphane Laurent (2017). matrixsampling: Simulations of Matrix Variate Distributions. R package version 2.0.0, https://cran.r-project.org/web/packages/matrixsampling. Accessed 15 Jun. 2026.
Previous versions and publish date:
1.0.0 (2017-12-11 14:22), 1.1.0 (2018-02-21 15:44)
Other packages that cited matrixsampling R package
View matrixsampling citation profile
Other R packages that matrixsampling depends, imports, suggests or enhances
Complete documentation for matrixsampling
Functions, R codes and Examples using the matrixsampling R package
Some associated functions: rinvwishart . rmatrixCHIIkind2 . rmatrixCHIkind2 . rmatrixCHkind1 . rmatrixbeta . rmatrixbetaII . rmatrixgamma . rmatrixit . rmatrixnormal . rmatrixt . rwishart . rwishart_chol . 
Some associated R codes: CHIIkindtwo.R . CHIkindtwo.R . CHkindone.R . beta.R . gamma.R . internal.R . normal.R . student.R . wishart.R .  Full matrixsampling package functions and examples
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