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.

simEd: Simulation Education

Contains various functions to be used for simulation education, including simple Monte Carlo simulation functions, queueing simulation functions, variate generation functions capable of producing independent streams and antithetic variates, functions for illustrating random variate generation for various discrete and continuous distributions, and functions to compute time-persistent statistics. Also contains functions for visualizing: event-driven details of a single-server queue model; a Lehmer random number generator; variate generation via acceptance-rejection; and of generating a non-homogeneous Poisson process via thinning. Also contains two queueing data sets (one fabricated, one real-world) to facilitate input modeling. More details on the use of these functions can be found in Lawson and Leemis (2015) <doi:10.1109/WSC.2017.8248124>, in Kudlay, Lawson, and Leemis (2020) <doi:10.1109/WSC48552.2020.9384010>, and in Lawson and Leemis (2021) <doi:10.1109/WSC52266.2021.9715299>.

Version: 2.0.1
Depends: rstream
Imports: graphics, grDevices, methods, stats, utils, shape
Suggests: magick
Published: 2023-11-26
DOI: 10.32614/CRAN.package.simEd
Author: Barry Lawson [aut, cre, cph], Larry Leemis [aut], Vadim Kudlay [aut]
Maintainer: Barry Lawson <blawson at bates.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: simEd results

Documentation:

Reference manual: simEd.pdf

Downloads:

Package source: simEd_2.0.1.tar.gz
Windows binaries: r-devel: simEd_2.0.1.zip, r-release: simEd_2.0.1.zip, r-oldrel: simEd_2.0.1.zip
macOS binaries: r-release (arm64): simEd_2.0.1.tgz, r-oldrel (arm64): simEd_2.0.1.tgz, r-release (x86_64): simEd_2.0.1.tgz, r-oldrel (x86_64): simEd_2.0.1.tgz
Old sources: simEd archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simEd 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.