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README.md
In matrixsampling: Simulations of Matrix Variate Distributions
matrixsampling
Simulation of matrix variate distributions
This package allows to simulate some matrix variate distributions: the matrix normal distribution, the matrix t-distribution, the matrix inverted t-distribution, the Wishart distribution, the Beta type I distribution, the Beta type II distribution, and more. A particular feature is the possibility to simulate the noncentral Wishart distribution with any fractional number of degrees of freedom.
Install
You can install:
- the latest released version from CRAN
install.packages("matrixsampling")
- the latest development version
devtools::install_github("stla/matrixsampling")
Find a bug ? Suggestion for improvement ?
Please report at https://github.com/stla/matrixsampling/issues.
Try the matrixsampling package in your browser
Any scripts or data that you put into this service are public.
matrixsampling documentation built on Aug. 25, 2019, 1:03 a.m.
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matrixsampling
Simulation of matrix variate distributions
This package allows to simulate some matrix variate distributions: the matrix normal distribution, the matrix t-distribution, the matrix inverted t-distribution, the Wishart distribution, the Beta type I distribution, the Beta type II distribution, and more. A particular feature is the possibility to simulate the noncentral Wishart distribution with any fractional number of degrees of freedom.
Install
You can install:
- the latest released version from CRAN
install.packages("matrixsampling")
- the latest development version
devtools::install_github("stla/matrixsampling")
Find a bug ? Suggestion for improvement ?
Please report at https://github.com/stla/matrixsampling/issues.
Try the matrixsampling package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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