Concentrationmetrics

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* Installation:
* PyPI release update

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* Added Hall-Tideman Index
* Streamlined input value exception handling (value / type errors), issue (https://github.com/open-risk/concentrationMetrics/issues/7)

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* Added script that produces cross-check calculations from corresponding R packages
* Expanded functionality to process dataframes
* First PyPI installation

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* Renamed library to concentrationMetrics to emphasize the nature of the library and follow the naming conventions of other Open Risk projects (transitionMatrix, correlationMatrix etc)
* Added readthedocs documentation

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* Provide confidence intervals via bootstraping
* Improved test documentation
* Fixed documentation links

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* Added new one-dimensional indexes: Hoover
* New multi-dimensional index family: Ellison-Glaeser
* Added normalized version flag (ranging in 0,1) for HHI, Shannon
* API Changes:
* Introduction of Index object to organize different index calculations as methods
* Lists are now converted to numpy arrays before processing
* More formal testing framework, added tests for the EG index