Package: AR
Type: Package
Title: Another Look at the Acceptance-Rejection Method
Version: 1.1
Date: 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@uk.ac.ir>
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.
License: LGPL (>= 3)
Imports: DISTRIB
NeedsCompilation: no
Packaged: 2018-05-02 02:33:02 UTC; Parchami
Repository: CRAN
Date/Publication: 2018-05-02 03:54:28 UTC
Built: R 4.3.3; ; 2025-01-24 14:27:42 UTC; unix
