## CRAN

# AR 1.0

Another Look at the Acceptance-Rejection Method

Released May 18, 2017 by Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)

### Dependencies

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.

## Installation

### Maven

This package can be included as a dependency from a Java or Scala project by including
the following your project's `pom.xml`

file.
Read more
about embedding Renjin in JVM-based projects.

<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>AR</artifactId> <version>1.0-b4</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>

### Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:AR')

## Test Results

This package was last tested against Renjin 0.8.2442 on Sep 25, 2017.