Salib

Improvements to Morris sampling and Sobol groups/distributions

- Adds improved sampling for the Morris method
(thanks to JoerivanEngelen) and group sampling/analysis for the Sobol method
(thanks to calvinwhealton).
- calvinwhealton has also added non-uniform distributions to the Sobol
sampling. This will be a baseline for adding this to the other methods in
the future.
- Also includes several minor bug fixes.

New documentation, doc strings and installation requirements

- dhadka has kindly contributed a wealth of documentation to the project,
including doc strings in every module
- no longer test for numpy <1.8.0 and matplotlib < 1.4.3, and these
requirements are implemented in a new setup script.

Parallel option for Sobol method

- New option to run analyze.sobol function in parallel using multiprocessing

This release does not contain any new functionality, but SALib now is citable
using a Digital Object Identifier (DOI), which can be found in the readme.

Some minor updates are included:

- morris: sigma has been removed from the grouped-morris results and plots,
replaced by mu_star_conf - a bootstrapped confidence interval.
Mu_star_conf is not equivalent to sigma when used in the non-grouped method of
morris, but its all we have when using groups.
- some minor updates to the tests in the plotting module

- Set up to include and test plotting functions
- Specific plotting functions for Morris
- Fractional Factorial SA from Saltelli et al.
- Repo transferred to SALib organization, update setup and URLs
- Small bugfixes

- Vectorized bootstrap calculations for Morris and Sobol
- Optional trajectory optimization with Gurobi, and tests for it
- Several minor bugfixes
- Starting with v0.5, SALib is released under the MIT license.