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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.
| Version: | 2.0.0 |
| Imports: | stats, keep |
| Published: | 2019-08-24 |
| Author: | Stéphane Laurent |
| Maintainer: | Stéphane Laurent <laurent_step at outlook.fr> |
| BugReports: | https://github.com/stla/matrixsampling/issues |
| License: | GPL-3 |
| URL: | https://github.com/stla/matrixsampling |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | Distributions |
| CRAN checks: | matrixsampling results |
| Reference manual: | matrixsampling.pdf |
| Package source: | matrixsampling_2.0.0.tar.gz |
| Windows binaries: | r-devel: matrixsampling_2.0.0.zip, r-release: matrixsampling_2.0.0.zip, r-oldrel: matrixsampling_2.0.0.zip |
| macOS binaries: | r-release (arm64): matrixsampling_2.0.0.tgz, r-oldrel (arm64): matrixsampling_2.0.0.tgz, r-release (x86_64): matrixsampling_2.0.0.tgz, r-oldrel (x86_64): matrixsampling_2.0.0.tgz |
| Old sources: | matrixsampling archive |
| Reverse imports: | brokenstick |
| Reverse suggests: | matrixNormal |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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