Reproducible Discrete-Event Simulation in Python and R

This practical guide shows you how to build reproducible discrete-event simulation models (DES) that fit into a reproducible analytical pipeline (RAP), with tips that benefit all types of models and analysis.

This resource is an output of STARS, a research project led by Associate Prof. Tom Monks . The book is written by Amy Heather and reviewed by Prof. Nav Mustafee , Dr. Alison Harper , and Associate Prof. Tom Monks . The STARS project is supported by the Medical Research Council [grant number MR/Z503915/1]. The listed researchers are associated with the University of Exeter Medical and Business Schools.

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