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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 |
| 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 |
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These binaries (installable software) and packages are in development.
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