Metadata-Version: 1.1
Name: stimator
Version: 0.9.98
Summary: Analysis of ODE models with focus on model selection and parameter estimation.
Home-page: http://webpages.fc.ul.pt/~aeferreira/stimator
Author: António Ferreira
Author-email: aeferreira@fc.ul.pt
License: BSD
Description: *S-timator*: 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.
        
        Features include:
        
        - **A mini language used to describe models**: models can be input as plain text 
          following a very simple and human-readable language.
        - **Basic analysis**: numerical solution of ODE's, parameter scanning.
        - **Parameter estimation** and **model selection**: given experimental data in
          the form of time series and constrains on model operating ranges,
          built-in numerical optimizers can find parameter values and assist you in the
          experimental design for model selection.
        
        *S-timator* is in an alpha stage: many new features will be available soon.
        
        Requirements
        ------------
        
        *S-timator* supports Python versions 2.6 and up, but support of 3.x is
        coming soon.
        
        *S-timator* depends on the "scientific python stack". The **mandatory**
        requirements for *S-timator* are the following libraries:
        
        - ``Python (2.6 or 2.7)``
        - ``numpy``
        - ``scipy``
        - ``matplotlib``
        - ``pip``
        - ``pandas``
        - ``seaborn``
        
        One of the following "scientific python" distributions is recommended, **as they all provide 
        an easy installation of all requirements**:
        
        - `Anaconda <https://store.continuum.io/cshop/anaconda/>`_ (or `Miniconda <http://conda.pydata.org/miniconda.html>`_ followed by the necessary ``conda install``'s)
        - `Python (x,y) <https://code.google.com/p/pythonxy/>`_
        - `Enthought Canopy <https://www.enthought.com/products/canopy/>`_
        
        The installation of these Python libraries is optional, but strongly recommended:
        
        - ``sympy``: necessary to compute dynamic sensitivities, error estimates of
          parameters and other symbolic computations.
        - ``IPython`` and all its dependencies: some *S-timator* examples are provided
          as IPython notebooks.
        - ``wxPython``: although *S-timator* is a python library meant to be used for scripting or in
          IPython *literate programming* interface, a simple GUI is included. This interface
          requires wxPython.
        
        
        Installation
        ------------
        
        After installing the required libraries, (``Python``, ``numpy``, ``scipy``,
        ``matplotlib``, ``pandas`` and ``pip``) the easiest way to install *S-timator* is
        with ``pip``::
        
            $ pip install stimator
        
        The classical way also works, but is not recommended::
            
            $ python setup.py install
        
Keywords: ODE-models estimation dynamics
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 2 :: Only
Classifier: Topic :: Scientific/Engineering :: Artificial Life
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
