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Discrete-Event Simulation for R • simmer | DES for R 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
GitHub - matloff des: Discrete-Event Simulation in R The DES package uses the event-oriented approach, which means the programmer codes how the system reacts to any specific event To see how event-oriented simulation works, consider a simple machine-repair model
Package DES reference manual - cran. r-universe. dev Discrete event simulation (DES) involves modeling of systems having discrete, i e abrupt, state changes For instance, when a job arrives to a queue, the queue length abruptly increases by 1
Discrete Event Simulation in R (and, Why R Is Different) I developed my DES package entirely in R, mainly because I aimed it only as proof-of-concept It’s been around for a few years, first on my own Web page then more recently on GitHub
Discrete Event Simulation in R using the ‘Simmer . . . - Springer To address this perceived complexity, this tutorial provides a detailed illustration of implementing DES in the open-source R software using the simmer package, through a case study in colon cancer
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Articles • simmer | DES for R Learn how to implement general continuous-time Markov chain models with simmer Learn how to deal with concurrent models and synchronization issues Advanced use cases and techniques for telecommunications