Pymob user guide# This guide is an overview and explains the important features. Getting started Installation Pymob in minutes - the basics Usage Pymob quickstart Initialize a simulation Define a model Defining a solver Generate artificial data The pymob magic 🪄 Parameterizing a model Running the model 🏃 Estimating parameters Exporting the simulation and running it via the case study API Pymob Introduction Overview Generate artificial data Initialize a simulation Define a model Defining a solver The pymob magic Parameterizing a model Running the model 🏃 Estimating parameters Exporting the simulation and running it via the case study API Framework overview Pymob API Parameter estimation Implementing an ODE model in Pymob Chapter 1: Setting up the model 👩💻 1.1 Creating the sim object 🧩 1.2 Generating artificial data 📈 1.3 Adding data to the sim object 🤝 1.4 Setting parameters and running the model 👟 1.5 Finding out the value of \(\delta\) 🔎 Chapter 2: Saving and retrieving a simulation 💾 2.1 Creating a new sim file from a saved configuration 🆕 2.2 Running the model and parameter inference 👟🔍 2.3 Summary Case studies Configuration Simulation Simulation components Input / Output Parameter inference Supported inference backends Why use pymob.inferer? Parameter inference Diagnosing problems in models NaN likelihoods with JaxSolver Further reference