Other packages > Find by keyword >

simmer  

Discrete-Event Simulation for R
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("simmer", "4.4.7")



Attach the package and use:
library("simmer")
Maintained by
Iñaki Ucar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-15
Latest Update: 2023-08-22
Description:
A process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. It is designed as a generic yet powerful framework. The architecture encloses a robust and fast simulation core written in 'C++' with automatic monitoring capabilities. It provides a rich and flexible R API that revolves around the concept of trajectory, a common path in the simulation model for entities of the same type. Documentation about 'simmer' is provided by several vignettes included in this package, via the paper by Ucar, Smeets & Azcorra (2019, <doi:10.18637/jss.v090.i02>), and the paper by Ucar, Hernández, Serrano & Azcorra (2018, <doi:10.1109/MCOM.2018.1700960>); see 'citation("simmer")' for details.
How to cite:
Iñaki Ucar (2015). simmer: Discrete-Event Simulation for R. R package version 4.4.7, https://cran.r-project.org/web/packages/simmer. Accessed 22 Dec. 2024.
Previous versions and publish date:
3.0.0 (2015-11-15 10:09), 3.0.1 (2015-11-17 14:40), 3.1.0 (2015-12-16 00:31), 3.1.1 (2015-12-16 17:45), 3.1.2 (2016-01-04 15:28), 3.2.0 (2016-04-04 23:58), 3.2.1 (2016-04-29 23:43), 3.3.0 (2016-06-28 07:50), 3.4.0 (2016-08-09 01:09), 3.4.1 (2016-08-11 13:52), 3.4.2 (2016-09-03 20:38), 3.4.3 (2016-10-02 10:12), 3.4.4 (2016-10-06 19:22), 3.5.0 (2016-10-27 00:09), 3.5.1 (2016-11-26 12:53), 3.6.0 (2016-12-28 01:58), 3.6.1 (2017-03-30 23:32), 3.6.2 (2017-05-30 12:39), 3.6.3 (2017-07-28 06:24), 3.6.4 (2017-11-04 07:47), 3.6.5 (2018-01-04 15:54), 3.7.0 (2018-03-03 15:03), 3.8.0 (2018-05-01 13:10), 4.0.0 (2018-07-20 19:00), 4.0.1 (2018-09-10 17:10), 4.1.0 (2018-11-09 16:40), 4.2.0 (2019-01-09 11:00), 4.2.1 (2019-01-09 18:50), 4.2.2 (2019-03-14 14:50), 4.3.0 (2019-07-30 23:30), 4.4.0 (2019-12-09 21:00), 4.4.1 (2020-04-11 18:40), 4.4.2 (2020-06-06 20:30), 4.4.3 (2021-08-11 13:10), 4.4.4 (2022-02-07 22:20), 4.4.5 (2022-06-25 23:00), 4.4.6.1 (2023-07-18 20:50), 4.4.6.2 (2023-08-22 14:30), 4.4.6.3 (2023-11-28 15:50), 4.4.6.4 (2024-07-05 10:20), 4.4.6 (2023-07-17 12:50)
Other packages that cited simmer R package
View simmer citation profile
Other R packages that simmer depends, imports, suggests or enhances
Complete documentation for simmer
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA