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AR  

Another Look at the Acceptance-Rejection Method
View on CRAN: Click here


Download and install AR package within the R console
Install from CRAN:
install.packages("AR")

Install from Github:
library("remotes")
install_github("cran/AR")

Install by package version:
library("remotes")
install_version("AR", "1.1")



Attach the package and use:
library("AR")
Maintained by
Abbas Parchami
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-18
Latest Update: 2018-05-02
Description:
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.
How to cite:
Abbas Parchami (2017). AR: Another Look at the Acceptance-Rejection Method. R package version 1.1, https://cran.r-project.org/web/packages/AR. Accessed 09 Mar. 2026.
Previous versions and publish date:
1.0 (2017-05-18 10:28)
Other packages that cited AR R package
View AR citation profile
Other R packages that AR depends, imports, suggests or enhances
Complete documentation for AR
Functions, R codes and Examples using the AR R package
Some associated functions: AR-package . AR.Sim . 
Some associated R codes: AR.Sim.R .  Full AR package functions and examples
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