https://github.com/stla/matrixsampling
Simulation of matrix variate distributions
https://github.com/stla/matrixsampling
r simulation
Last synced: 5 months ago
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Simulation of matrix variate distributions
- Host: GitHub
- URL: https://github.com/stla/matrixsampling
- Owner: stla
- Created: 2017-11-26T14:49:07.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2019-08-26T06:33:08.000Z (over 6 years ago)
- Last Synced: 2024-10-30T02:29:28.897Z (about 1 year ago)
- Topics: r, simulation
- Language: R
- Size: 89.8 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# 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
```r
install.packages("matrixsampling")
```
- the latest development version
```r
devtools::install_github("stla/matrixsampling")
```
### Find a bug ? Suggestion for improvement ?
Please report at https://github.com/stla/matrixsampling/issues.