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<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>Home · MarkovProcesses.jl</title><script data-outdated-warner src="assets/warner.js"></script><link href="https://cdnjs.cloudflare.com/ajax/libs/lato-font/3.0.0/css/lato-font.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/juliamono/0.045/juliamono.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.13.24/katex.min.css" rel="stylesheet" type="text/css"/><script>documenterBaseURL="."</script><script 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class="docs-menu"><li class="is-active"><a class="tocitem" href="index.html">Home</a><ul class="internal"><li><a class="tocitem" href="#Package-features"><span>Package features</span></a></li></ul></li><li><a class="tocitem" href="starting.html">Getting Started</a></li><li><a class="tocitem" href="create_model.html">Create a model</a></li><li><span class="tocitem">API</span><ul><li><a class="tocitem" href="api/model.html">Model</a></li><li><a class="tocitem" href="api/trajectory.html">Trajectory</a></li><li><a class="tocitem" href="api/abc.html">Approximate Bayesian Computation</a></li><li><a class="tocitem" href="api/plots.html">Plots</a></li></ul></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><nav class="breadcrumb"><ul class="is-hidden-mobile"><li class="is-active"><a href="index.html">Home</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href="index.html">Home</a></li></ul></nav><div class="docs-right"><a class="docs-edit-link" href="https://github.com//blob/master/docs/src/index.md" title="Edit on GitHub"><span class="docs-icon fab"></span><span class="docs-label is-hidden-touch">Edit on GitHub</span></a><a class="docs-settings-button fas fa-cog" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-sidebar-button fa fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a></div></header><article class="content" id="documenter-page"><h1 id="MarkovProcesses.jl"><a class="docs-heading-anchor" href="#MarkovProcesses.jl">MarkovProcesses.jl</a><a id="MarkovProcesses.jl-1"></a><a class="docs-heading-anchor-permalink" href="#MarkovProcesses.jl" title="Permalink"></a></h1><p><em>A package for simulation, verification and parameter estimation of Chemical Reaction Networks.</em></p><h2 id="Package-features"><a class="docs-heading-anchor" href="#Package-features">Package features</a><a id="Package-features-1"></a><a class="docs-heading-anchor-permalink" href="#Package-features" title="Permalink"></a></h2><ul><li>A core of simulation for Continuous-Time Markov Chains (CTMC) defined by Chemical Reaction Networks (CRN),</li><li>A simple interface for Biochemical Networks / Stochastic Petri Nets,</li><li>Synchronized simulation with Linear Hybrid Automata,</li><li>Approximate Bayesian Computation, a likelihood-free inference method,</li><li>Automaton-ABC: a statistical method for verification of parametric CTMCs.</li></ul></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="starting.html">Getting Started »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a 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