.. -- mode: rst --

About

A python package implementing state-of-the-art numerical methods arising in the field of uncertainty quantification : from statistical inference to uncertainty propagation for various purposes such as

• Reliability analysis: estimation of low probabilities. (TODO)
• Reliability sensitivity analysis: estimation of probability derivatives. (TODO)
• Sensitivity analysis: quantification and ranking of the different sources of uncertainty arising in a model. (TODO)

Download (TODO)

You can download the source code from SourceForge:

http://sourceforge.net/projects/pyrel/files/

Dependencies

The required dependencies to build the software are python >= 2.5, setuptools, NumPy >= 1.1, SciPy >= 0.6, openTURNS >= 0.13, scikits-learn >= 0.6

To run the tests you will also need nose >= 0.10.

Install (TODO)

This packages uses distutils, which is the default way of installing python modules. The install command is::

python setup.py install

Mailing list

There's a general mailing list, visit https://lists.sourceforge.net/lists/listinfo/pyrely-general to subscribe.

Development

Code

GIT

You can check the latest sources with the command::

    git clone git://github.com/pyrely/pyrely.git

or if you have write privileges::

    git clone [email protected]:pyrely/pyrely.git

Bugs
----

If you find a bug, you are more than welcome to report it on the mailing list,
and propose a patch in the form of a pull request on Git Hub.

Testing (TODO)
--------------

After installation, or after you added your own contribution please run the
tests from the makefile::

    make test