https://github.com/adolgert/competingclocks.jl

Simplest simulation to use non-Exponential transitions
https://github.com/adolgert/competingclocks.jl

continuous-time discrete-event-systems generalized-semi-markov-processes gillespie-algorithm next-reaction-method stochastic-simulation

Last synced: about 2 months ago
JSON representation

Simplest simulation to use non-Exponential transitions

• Host: GitHub
• URL: https://github.com/adolgert/competingclocks.jl
• Owner: adolgert
• License: mit
• Created: 2021-02-14T18:58:05.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2025-11-22T22:23:23.000Z (5 months ago)
• Last Synced: 2025-11-23T00:08:42.954Z (5 months ago)
• Topics: continuous-time, discrete-event-systems, generalized-semi-markov-processes, gillespie-algorithm, next-reaction-method, stochastic-simulation
• Language: Julia
• Homepage:
• Size: 13.3 MB
• Stars: 6
• Watchers: 3
• Forks: 0
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# CompetingClocks

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://adolgert.github.io/CompetingClocks.jl/stable)

[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://adolgert.github.io/CompetingClocks.jl/dev)

[![Build Status](https://github.com/adolgert/CompetingClocks.jl/workflows/CI/badge.svg)](https://github.com/adolgert/CompetingClocks.jl/actions)

CompetingClocks samples continuous-time probability distributions with time-varying hazard rates. It is a sampler for stochastic simulation in continuous time. You give it the probability distribution functions, and it tells you which fires next.

This package was formerly called `Fleck`.