Analysis of ODE models with focus on model selection and parameter estimation.
S-timator is a Python library to analyse ODE-based models (also known as dynamic or kinetic models). These models are often found in many scientific fields, particularly in Physics, Chemistry, Biology and Engineering.
S-timator is in an alpha stage: many new features will be available soon.
S-timator supports Python versions 2.7 and 3.3+.
S-timator depends on the “scientific python stack”. The mandatory requirements for S-timator are the following libraries:
One of the following “scientific python” distributions is recommended, as they all provide an easy installation of all requirements:
The installation of these Python libraries is optional, but strongly recommended:
After installing the required libraries, (Python, numpy, scipy, matplotlib) the easiest way to install S-timator is with pip:
$ pip install stimator
or, in a Anaconda/Miniconda installation, install from the aeferreira channel:
$ conda install -c aeferreira stimator