Metadata-Version: 2.1
Name: Compyrtment
Version: 0.5.2
Summary: A simple Python library for compartment models
Home-page: https://github.com/stur86/compyrtment
Author: Simone Sturniolo
Author-email: simonesturniolo@gmail.com
License: MIT
Keywords: differential equations,compartment models,epidemiology,ecology,reactions,gillespie
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Life
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.1.*
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: ase


Compyrtment is a simple Python library to work with compartment models. It's 
a simple tool to aid with fast prototyping with models such as the SIR, SIS 
and SEIR epidemic models or the Lotka-Volterra model of predation. It supports:

- Designing models with arbitrary states and constant, linear and quadratic
  couplings between them;
- Numerical integration of the ODE system of a model;
- Numerical integration of 'sensitivity curves' - the gradient of each curve
  with respect to parameters as well as initial conditions;
- Fitting a model's parameters to existing data;
- Stochastic simulation using Gillespie's algorithm


