The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
In mathematics, 'rejection sampling' is a basic technique used to generate observations from a distribution. It is also commonly called 'the Acceptance-Rejection method' or 'Accept-Reject algorithm' and is a type of Monte Carlo method. 'Acceptance-Rejection method' is based on the observation that to sample a random variable one can perform a uniformly random sampling of the 2D cartesian graph, and keep the samples in the region under the graph of its density function. Package 'AR' is able to generate/simulate random data from a probability density function by Acceptance-Rejection method. Moreover, this package is a useful teaching resource for graphical presentation of Acceptance-Rejection method. From the practical point of view, the user needs to calculate a constant in Acceptance-Rejection method, which package 'AR' is able to compute this constant by optimization tools. Several numerical examples are provided to illustrate the graphical presentation for the Acceptance-Rejection Method.
| Version: | 1.1 |
| Imports: | DISTRIB |
| Published: | 2018-05-02 |
| DOI: | 10.32614/CRAN.package.AR |
| Author: | Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran) |
| Maintainer: | Abbas Parchami <parchami at uk.ac.ir> |
| License: | LGPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | AR results |
| Reference manual: | AR.pdf |
| Package source: | AR_1.1.tar.gz |
| Windows binaries: | r-devel: AR_1.1.zip, r-release: AR_1.1.zip, r-oldrel: AR_1.1.zip |
| macOS binaries: | r-release (arm64): AR_1.1.tgz, r-oldrel (arm64): AR_1.1.tgz, r-release (x86_64): AR_1.1.tgz, r-oldrel (x86_64): AR_1.1.tgz |
| Old sources: | AR archive |
Please use the canonical form https://CRAN.R-project.org/package=AR to link to this page.
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.