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"description": ".. -*- mode: rst -*-\r\n\r\n=======\r\nStatsPy\r\n=======\r\n\r\nStatsPy is a Python module for statistics built on top of `NumPy/SciPy `_. It contains a list of classes and tools intended to ease the design of complex distributions which can be later used to perform statistical tests or extract confidence intervals.\r\n\r\nLinks\r\n=====\r\n\r\n- Source code repository: https://github.com/bruneli/statspy\r\n- User's and Reference Guides: http://bruneli.github.io/statspy/\r\n- Download releases: https://sourceforge.net/projects/statspy/files\r\n\r\nInstall\r\n=======\r\n\r\nAfter downloading/checking out files, to install you should run the ``setup.py`` script::\r\n\r\n python setup.py install\r\n\r\nIf you are not familiar with Distutils, have a look to the `official documentation `_. \r\n\r\nDevelopment\r\n===========\r\n\r\nGIT\r\n---\r\n\r\nLatest sources can be checked out via:\r\n\r\n git clone git://github.com:bruneli/statspy.git\r\n\r\nor (if you have write privileges):\r\n\r\n git clone git@github.com:bruneli/statspy.git\r\n\r\n\r\nTODO\r\n----\r\n\r\n * *PF*:\r\n * Multivariate PFs\r\n * Improve bounds for rv operations\r\n * *Param*:\r\n * For bayesian stats, add prior (posterior) \r\n * Add missing math functions (fabs, trigonometric, hyperbolic)\r\n * *RV*:\r\n * Operations: multiplication, division, power, exp, log\r\n * *Hypothesis tests*:\r\n * Improve handling of hypothesis\r\n * Bayesian/Frequentist Hybrid\r\n * Bayesian tests\r\n * *Confidence intervals*:\r\n * Neyman constructions\r\n * Bayesian credibility intervals",
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